2048 AI Professional jobs in Bengaluru
AI Sales Professional
Bengaluru, Karnataka
beBeeSales
Posted today
Job Viewed
Job Description
Top Sales Performer Wanted
We are looking for a highly skilled sales professional to join our team. As the first hire in this role, you will have the opportunity to shape the sales motion, playbook, and culture from day one.
The ideal candidate will have 2-5 years of experience in SDR/BDR roles (preferably SaaS or B2B tech) and a proven ability to hit or exceed meeting booking quotas.
You will be responsible for building top-of-funnel pipeline, testing outbound strategies, and feeding back real-world learnings into product and GTM.
Key Responsibilities:- Prospect and outreach across email, phone, and WhatsApp
- Book qualified meetings with CXOs, VPs, and decision-makers
- Collaborate with founders to refine ICP & messaging
- Develop the SDR playbook for future hires
- Provide customer feedback to product & marketing teams
- 2-5 years of experience in SDR/BDR roles (preferably SaaS or B2B tech)
- Proven ability to hit or exceed meeting booking quotas
- Excellent communication & storytelling skills
- Hustle & curiosity: Excited about AI, startups, and sales tech
- Comfortable with ambiguity and building things from scratch
- Be the first SDR hire → massive ownership + career growth
- Work closely with founders on strategy, GTM, and sales ops
- Opportunity to shape the sales culture & team from the ground up
- Access to cutting-edge AI tools
This advertiser has chosen not to accept applicants from your region.
0
Data Science & AI Sales Professional
Bengaluru, Karnataka
beBeeSales
Posted today
Job Viewed
Job Description
Transform professionals into industry leaders with our cutting-edge programs in Data Science & AI.
We aim to revolutionize the way working professionals upskill and achieve their dream jobs.
- Raise sales revenue
- Identify prospect needs and recommend programs through outbound calls
- Closed sales by demonstrating product value
- Build relationships through effective communication and follow-up
- Stay updated on industry trends and new offerings
Requirements:
- 1+ years inside sales experience
- Proven track record of meeting sales targets
- Strong communication and interpersonal skills
- CRM and sales tool proficiency
- Self-starter with strong work ethic
- Bachelor's degree in Business Administration preferred
Enjoy a dynamic work environment with rapid career advancement potential, talented team members, fast career growth, competitive compensation, and an outstanding company culture.
This advertiser has chosen not to accept applicants from your region.
1
AI Analytics Growth Professional
Bengaluru, Karnataka
Quess Corp Limited
Posted today
Job Viewed
Job Description
Ready to lead in Business & Market Development? Join India's top AI & Analytics platform as their Lead professional.
Seeking a dynamic individual with 12 years of experience in Sales, Business Development, and Market Expansion. Your role: expand outreach within India, engaging with enterprises, consulting firms, startups, and more.
Key Responsibilities:
- Drive successful business development initiatives
- Cultivate senior-level corporate relationships, forge key partnerships
- Accelerate business growth through strategic alliances
- Identify new leads and growth avenues via external ecosystem engagement
Join a thriving community of AI & Analytics leaders for unparalleled growth prospects and a fast-track career path.
#AI #Analytics #BusinessDevelopment #CareerGrowth #saassales #field sales #b2bsales
Please share cv to
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning/ AI Engineer
Bengaluru, Karnataka
vuha.AI
Posted today
Job Viewed
Job Description
About Vuha
At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.
We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.
- Be a Founding Engineer to build the technical strategy and foundations for the company.
- Design and train deep learning models for image-based defect detection.
- Build pipelines for dataset acquisition, labeling and versioning.
- Research and develop cutting edge models for defect detection on complex objects.
- Optimize inference for edge deployment (TensorRT, ONNX).
- Collaborate with software engineers to integrate models into real-time systems.
- Research state-of-the-art techniques in object detection models.
We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.
- Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
- Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
- End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
- Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.
What we expect-
- 5+ years of experience in ML, computer vision, or applied AI.
- Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
- Experience with docker, CI/CD pipelines
- Experience with version control systems such as github/bitbucket.
- Experience with model optimization for edge deployment and real time processing.
- Strong understanding of CNN architectures, object detection, and anomaly detection.
- Experience in end-to-end product development and deployment.
- Full ownership of product development and deployment.
- Curiosity, ownership, and the ability to thrive in an early-stage environment.
- Strong documentation and communication skills
- A keen ability to critically read, understand, and implement state-of-the-art research papers.
- Experience with manufacturing, industrial vision, or robotics.
- Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).
- Build AI that powers the physical world — factories, not feeds .
- Work closely with a founder-led engineering team with deep ML roots.
- Competitive pay and early equity in a fast-growing vision startup.
- Freedom to research, experiment, and innovate in production AI.
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning/ AI Engineer
Bengaluru, Karnataka
vuha.AI
Posted today
Job Viewed
Job Description
About Vuha At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.
We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.
What You’ll Do Be a Founding Engineer to build the technical strategy and foundations for the company.
Design and train deep learning models for image-based defect detection.
Build pipelines for dataset acquisition, labeling and versioning.
Research and develop cutting edge models for defect detection on complex objects.
Optimize inference for edge deployment (TensorRT, ONNX).
Collaborate with software engineers to integrate models into real-time systems.
Research state-of-the-art techniques in object detection models.
What We’re Looking For We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.
Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.
What we expect-
5+ years of experience in ML, computer vision, or applied AI.
Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
Experience with docker, CI/CD pipelines
Experience with version control systems such as github/bitbucket.
Experience with model optimization for edge deployment and real time processing.
Strong understanding of CNN architectures, object detection, and anomaly detection.
Experience in end-to-end product development and deployment.
Full ownership of product development and deployment.
Curiosity, ownership, and the ability to thrive in an early-stage environment.
Strong documentation and communication skills
A keen ability to critically read, understand, and implement state-of-the-art research papers.
Nice to Have Experience with manufacturing, industrial vision, or robotics.
Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).
Why Join Vuha? Build AI that powers the physical world — factories, not feeds .
Work closely with a founder-led engineering team with deep ML roots.
Competitive pay and early equity in a fast-growing vision startup.
Freedom to research, experiment, and innovate in production AI.
We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.
What You’ll Do Be a Founding Engineer to build the technical strategy and foundations for the company.
Design and train deep learning models for image-based defect detection.
Build pipelines for dataset acquisition, labeling and versioning.
Research and develop cutting edge models for defect detection on complex objects.
Optimize inference for edge deployment (TensorRT, ONNX).
Collaborate with software engineers to integrate models into real-time systems.
Research state-of-the-art techniques in object detection models.
What We’re Looking For We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.
Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.
What we expect-
5+ years of experience in ML, computer vision, or applied AI.
Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
Experience with docker, CI/CD pipelines
Experience with version control systems such as github/bitbucket.
Experience with model optimization for edge deployment and real time processing.
Strong understanding of CNN architectures, object detection, and anomaly detection.
Experience in end-to-end product development and deployment.
Full ownership of product development and deployment.
Curiosity, ownership, and the ability to thrive in an early-stage environment.
Strong documentation and communication skills
A keen ability to critically read, understand, and implement state-of-the-art research papers.
Nice to Have Experience with manufacturing, industrial vision, or robotics.
Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).
Why Join Vuha? Build AI that powers the physical world — factories, not feeds .
Work closely with a founder-led engineering team with deep ML roots.
Competitive pay and early equity in a fast-growing vision startup.
Freedom to research, experiment, and innovate in production AI.
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning/ AI Engineer
Bengaluru, Karnataka
vuha.AI
Posted today
Job Viewed
Job Description
About Vuha
At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.
We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.
- Be a Founding Engineer to build the technical strategy and foundations for the company.
- Design and train deep learning models for image-based defect detection.
- Build pipelines for dataset acquisition, labeling and versioning.
- Research and develop cutting edge models for defect detection on complex objects.
- Optimize inference for edge deployment (TensorRT, ONNX).
- Collaborate with software engineers to integrate models into real-time systems.
- Research state-of-the-art techniques in object detection models.
We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.
- Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
- Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
- End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
- Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.
What we expect-
- 5+ years of experience in ML, computer vision, or applied AI.
- Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
- Experience with docker, CI/CD pipelines
- Experience with version control systems such as github/bitbucket.
- Experience with model optimization for edge deployment and real time processing.
- Strong understanding of CNN architectures, object detection, and anomaly detection.
- Experience in end-to-end product development and deployment.
- Full ownership of product development and deployment.
- Curiosity, ownership, and the ability to thrive in an early-stage environment.
- Strong documentation and communication skills
- A keen ability to critically read, understand, and implement state-of-the-art research papers.
- Experience with manufacturing, industrial vision, or robotics.
- Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).
- Build AI that powers the physical world — factories, not feeds .
- Work closely with a founder-led engineering team with deep ML roots.
- Competitive pay and early equity in a fast-growing vision startup.
- Freedom to research, experiment, and innovate in production AI.
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning/ AI Engineer
Bangalore, Karnataka
vuha.AI
Posted 5 days ago
Job Viewed
Job Description
About Vuha
At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.
We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.
- Be a Founding Engineer to build the technical strategy and foundations for the company.
- Design and train deep learning models for image-based defect detection.
- Build pipelines for dataset acquisition, labeling and versioning.
- Research and develop cutting edge models for defect detection on complex objects.
- Optimize inference for edge deployment (TensorRT, ONNX).
- Collaborate with software engineers to integrate models into real-time systems.
- Research state-of-the-art techniques in object detection models.
We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.
- Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
- Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
- End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
- Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.
What we expect-
- 5+ years of experience in ML, computer vision, or applied AI.
- Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
- Experience with docker, CI/CD pipelines
- Experience with version control systems such as github/bitbucket.
- Experience with model optimization for edge deployment and real time processing.
- Strong understanding of CNN architectures, object detection, and anomaly detection.
- Experience in end-to-end product development and deployment.
- Full ownership of product development and deployment.
- Curiosity, ownership, and the ability to thrive in an early-stage environment.
- Strong documentation and communication skills
- A keen ability to critically read, understand, and implement state-of-the-art research papers.
- Experience with manufacturing, industrial vision, or robotics.
- Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).
- Build AI that powers the physical world — factories, not feeds.
- Work closely with a founder-led engineering team with deep ML roots.
- Competitive pay and early equity in a fast-growing vision startup.
- Freedom to research, experiment, and innovate in production AI.
This advertiser has chosen not to accept applicants from your region.
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6
Machine Learning/ Ai Engineer
Bengaluru, Karnataka
vuha.AI
Posted today
Job Viewed
Job Description
About Vuha
At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.
We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.
- Be a Founding Engineer to build the technical strategy and foundations for the company.
- Design and train deep learning models for image-based defect detection.
- Build pipelines for dataset acquisition, labeling and versioning.
- Research and develop cutting edge models for defect detection on complex objects.
- Optimize inference for edge deployment (TensorRT, ONNX).
- Collaborate with software engineers to integrate models into real-time systems.
- Research state-of-the-art techniques in object detection models.
We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.
- Research to Production : Lead the charge in transforming state-of-the-art research (e.G. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
- Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
- End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
- Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.
What we expect-
- 5+ years of experience in ML, computer vision, or applied AI.
- Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
- Experience with docker, CI/CD pipelines
- Experience with version control systems such as github/bitbucket.
- Experience with model optimization for edge deployment and real time processing.
- Strong understanding of CNN architectures, object detection, and anomaly detection.
- Experience in end-to-end product development and deployment.
- Full ownership of product development and deployment.
- Curiosity, ownership, and the ability to thrive in an early-stage environment.
- Strong documentation and communication skills
- A keen ability to critically read, understand, and implement state-of-the-art research papers.
- Experience with manufacturing, industrial vision, or robotics.
- Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).
- Build AI that powers the physical world — factories, not feeds .
- Work closely with a founder-led engineering team with deep ML roots.
- Competitive pay and early equity in a fast-growing vision startup.
- Freedom to research, experiment, and innovate in production AI.
This advertiser has chosen not to accept applicants from your region.
7
Senior AI Engineer Specialist
Bengaluru, Karnataka
Veralto
Posted 4 days ago
Job Viewed
Job Description
We are looking for Senior AI Engineer Specialist to lead the design, development, and deployment of cutting-edge AI solutions that leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI architectures. This is a hands-on leadership role for a builder and systems thinker who can push generative AI from experimentation into scalable, production-ready capabilities.
As part of Esko's mission to help brands and suppliers accelerate their packaging go-to-market process, this role will focus on integrating AI and agentic flows into key areas such as automatic artwork creation, layout optimization, and intelligent business workflow orchestration.
Are you.
Interested to work on cutting edge AI work and be a front runner in AI space?
Excited to work on solving business problems using AI?
Interested in developing your career in a leading packaging and printing industry?
Interested in working for a company that is dedicated to sustainability?
If so, read on!
Esko ( , a Veralto company, is a global provider of integrated software and hardware solutions that accelerate the go-to-market process of packaged goods. Our products empower teams to support and manage the packaging design and print processes for brand owners, retailers, pre-media and trade shops, manufacturers, and converters to provide the most innovative, integrated platform and comprehensive portfolio of tools that intelligently digitize, connect, automate, and accelerate the concept to market processes for every packaged product.
You will be part of a flexible, family friendly organization that cares about its people just as it cares about the environment.
We recognize that people come with a wealth of experience and talent. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions.
We are looking for Senior AI Engineer Specialist to lead the design, development, and deployment of cutting-edge AI solutions that leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI architectures. This is a hands-on leadership role for a builder and systems thinker who can push generative AI from experimentation into scalable, production-ready capabilities.
As part of Esko's mission to help brands and suppliers accelerate their packaging go-to-market process, this role will focus on integrating AI and agentic flows into key areas such as automatic artwork creation, layout optimization, and intelligent business workflow orchestration. You will also help build tools that seamlessly integrate with existing Esko products to enhance automation and connectivity across the packaging lifecycle. Role is Hybrid and its preferable to have incumbent based in Bangalore.
**In this role, a typical day will look like:**
+ _Architect robust, modular LLM pipelines including prompt engineering, embeddings, vector search, fine-tuning, and orchestration._
+ _Design and implement autonomous agents capable of reasoning, tool use (e.g., APIs, plugins), and long-horizon task planning._
+ _Own the full lifecycle of AI systems from prototyping through deployment, observability, and optimization._
+ _Evaluate and integrate emerging frameworks (e.g., LangGraph, CrewAI, AutoGen, and Semantic Kernel) to build next-gen agentic capabilities._
+ _Ensure performance, safety, and traceability across LLM applications in production environments._
+ _Lead cross-functional collaboration with data science, platform engineering, and product teams to embed AI into core workflows._
+ _Stay ahead of research and ecosystem trends to drive technical innovation and strategic differentiation._
**Required Skills & Qualifications**
+ Bachelor's or Master's in Computer Science, Machine Learning, or related field; PhD is a plus.
+ 5+ years of experience in AI/ML engineering, including 2+ years focused on LLMs or NLP-based systems.
+ Deep understanding of transformer models, prompt strategies, embeddings, fine-tuning, and RAG pipelines.
+ Strong software and systems engineering skills, including experience in designing APIs, distributed systems, and production-grade services.
+ Proficient in Python and leading AI frameworks such as Hugging Face, LangChain, OpenAI, PyTorch, and Ray.
+ Experience with vector databases (FAISS, Pinecone, Weaviate) and agentic orchestration frameworks.
+ Proven ability to ship LLM-based products at scale in enterprise or SaaS environments (on-prem or cloud).
+ Familiar with secure deployment, prompt injection mitigation, and responsible AI principles.
**Preferred Qualifications**
+ Experience building multi-agent or tool-using systems for automation or decision-making.
+ Familiarity with reinforcement learning, planning algorithms, or memory-augmented agents.
+ Prior contributions to open-source agentic AI frameworks or research papers in generative AI.
+ Track record of mentoring junior engineers and guiding architectural decisions.
At Esko ( , a Veralto Company ( , innovation comes in every color and never in the same package. Join Esko and see how diversity of people and thought fuels a career journey like no other. Create unique technology solutions for the packaging value chain, bring new ideas to life, make and influence decisions, and experience career growth, rewards, and recognition in our global Packaging & Color organizations.
Esko is proud to be a Product Quality & Innovation company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today. Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World's Most Vital Resources.
At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
**Unsolicited Assistance**
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies ( , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.
Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
As part of Esko's mission to help brands and suppliers accelerate their packaging go-to-market process, this role will focus on integrating AI and agentic flows into key areas such as automatic artwork creation, layout optimization, and intelligent business workflow orchestration.
Are you.
Interested to work on cutting edge AI work and be a front runner in AI space?
Excited to work on solving business problems using AI?
Interested in developing your career in a leading packaging and printing industry?
Interested in working for a company that is dedicated to sustainability?
If so, read on!
Esko ( , a Veralto company, is a global provider of integrated software and hardware solutions that accelerate the go-to-market process of packaged goods. Our products empower teams to support and manage the packaging design and print processes for brand owners, retailers, pre-media and trade shops, manufacturers, and converters to provide the most innovative, integrated platform and comprehensive portfolio of tools that intelligently digitize, connect, automate, and accelerate the concept to market processes for every packaged product.
You will be part of a flexible, family friendly organization that cares about its people just as it cares about the environment.
We recognize that people come with a wealth of experience and talent. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions.
We are looking for Senior AI Engineer Specialist to lead the design, development, and deployment of cutting-edge AI solutions that leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI architectures. This is a hands-on leadership role for a builder and systems thinker who can push generative AI from experimentation into scalable, production-ready capabilities.
As part of Esko's mission to help brands and suppliers accelerate their packaging go-to-market process, this role will focus on integrating AI and agentic flows into key areas such as automatic artwork creation, layout optimization, and intelligent business workflow orchestration. You will also help build tools that seamlessly integrate with existing Esko products to enhance automation and connectivity across the packaging lifecycle. Role is Hybrid and its preferable to have incumbent based in Bangalore.
**In this role, a typical day will look like:**
+ _Architect robust, modular LLM pipelines including prompt engineering, embeddings, vector search, fine-tuning, and orchestration._
+ _Design and implement autonomous agents capable of reasoning, tool use (e.g., APIs, plugins), and long-horizon task planning._
+ _Own the full lifecycle of AI systems from prototyping through deployment, observability, and optimization._
+ _Evaluate and integrate emerging frameworks (e.g., LangGraph, CrewAI, AutoGen, and Semantic Kernel) to build next-gen agentic capabilities._
+ _Ensure performance, safety, and traceability across LLM applications in production environments._
+ _Lead cross-functional collaboration with data science, platform engineering, and product teams to embed AI into core workflows._
+ _Stay ahead of research and ecosystem trends to drive technical innovation and strategic differentiation._
**Required Skills & Qualifications**
+ Bachelor's or Master's in Computer Science, Machine Learning, or related field; PhD is a plus.
+ 5+ years of experience in AI/ML engineering, including 2+ years focused on LLMs or NLP-based systems.
+ Deep understanding of transformer models, prompt strategies, embeddings, fine-tuning, and RAG pipelines.
+ Strong software and systems engineering skills, including experience in designing APIs, distributed systems, and production-grade services.
+ Proficient in Python and leading AI frameworks such as Hugging Face, LangChain, OpenAI, PyTorch, and Ray.
+ Experience with vector databases (FAISS, Pinecone, Weaviate) and agentic orchestration frameworks.
+ Proven ability to ship LLM-based products at scale in enterprise or SaaS environments (on-prem or cloud).
+ Familiar with secure deployment, prompt injection mitigation, and responsible AI principles.
**Preferred Qualifications**
+ Experience building multi-agent or tool-using systems for automation or decision-making.
+ Familiarity with reinforcement learning, planning algorithms, or memory-augmented agents.
+ Prior contributions to open-source agentic AI frameworks or research papers in generative AI.
+ Track record of mentoring junior engineers and guiding architectural decisions.
At Esko ( , a Veralto Company ( , innovation comes in every color and never in the same package. Join Esko and see how diversity of people and thought fuels a career journey like no other. Create unique technology solutions for the packaging value chain, bring new ideas to life, make and influence decisions, and experience career growth, rewards, and recognition in our global Packaging & Color organizations.
Esko is proud to be a Product Quality & Innovation company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today. Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World's Most Vital Resources.
At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
**Unsolicited Assistance**
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies ( , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.
Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
This advertiser has chosen not to accept applicants from your region.
8
AI Engineer
Bangalore, Karnataka
NTT DATA North America
Posted 2 days ago
Job Viewed
Job Description
**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Job Duties:** As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.
**Key Responsibilities:**
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
**Minimum Skills Required: Required Qualifications**
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
Master's Degree in a similar field with at least 3 years of relevant experience.
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
Experience with data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
3+ years of experience with containerization (e.g., Docker, Kubernetes).
2+ years of experience with CI/CD tools, pipelines
Experience working with Large Language Model (LLM) in application development
Experience with version control systems (e.g., Git) and software development best practices.
Experience with Databricks
**Preferred Qualifications**
Excellent problem-solving skills and ability to work in a collaborative environment.
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience deploying software using tools like Docker and Kubernetes.
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP).
Familiarity with big data technologies (e.g., Hadoop, Spark).
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Job Duties:** As a Senior AI Engineer, resource will develop and deploy innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. They will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.
**Key Responsibilities:**
Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
Assist our data science team in the development and deployment of traditional machine learning models.
Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
**Minimum Skills Required: Required Qualifications**
Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
Master's Degree in a similar field with at least 3 years of relevant experience.
5+ years of experience developing Python-based applications intended for use by others, beyond just building models or conducting data analysis.
Experience with data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
3+ years of experience with containerization (e.g., Docker, Kubernetes).
2+ years of experience with CI/CD tools, pipelines
Experience working with Large Language Model (LLM) in application development
Experience with version control systems (e.g., Git) and software development best practices.
Experience with Databricks
**Preferred Qualifications**
Excellent problem-solving skills and ability to work in a collaborative environment.
Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
Experience deploying software using tools like Docker and Kubernetes.
Experience with deep learning techniques and frameworks.
Knowledge of natural language processing (NLP).
Familiarity with big data technologies (e.g., Hadoop, Spark).
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
This advertiser has chosen not to accept applicants from your region.
9