961 AI Application Development jobs in Bengaluru

Job Title: AIML Engineer
Position: SE
Experience: 5-6 yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Primary Skill-AI/ML
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.

Responsibilities
===
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop, learn and create is here. You will help support the creation of thought-provoking
solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
===
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below, but you re the type of person who has the ability to get there quickly:
Candidate should be proactive, problems solvers, ready to learn on their own.
Proficiency in one or more modern programming languages, mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow
Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
Ability to work in large, collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
===
ML/AI libraries and algorithms
Python
Kubernetes, Kubeflow/ML-flow
ML-Ops practices
Cloud Knowledge
Scikit-Learn, Keras and TensorFlow
Candidate should be proactive, Problems solvers, ready to learn on their own
Good to have Skills
===
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database

Location: Bangalore (Work from Office preferred, Hybrid possible)

Duration: 60 days (early completion acceptable)

Engagement Type: Contract (Freelancers welcome)

Compensation: ₹40,000 – ₹0,000 (for the complete 2-month contract or for finishing the assigned deliverables)

We are seeking highly skilled Senior AI Engineers to work on advanced Retrieval-Augmented Generation (RAG) , Natural Language Processing (NLP) , and Large Language Model (LLM) projects. The engagement requires building, integrating, and optimizing multilingual AI pipelines with a focus on low-latency, production-ready deployments.

This is a time-bound contract — the faster you deliver, the sooner you complete the engagement while receiving the full contract payment.

• NLP & IR Expertise :
• 3–8+ years in Natural Language Processing and Information Retrieval .
• At least 2 years in production-grade RAG implementation.
• Strong knowledge of chunking strategies, embeddings, retrieval pipelines, and reranking.
• Vector Search & Rerankers :
• Experience with pgvector , Milvus , FAISS , or similar vector databases.
• Implementation of cross-encoder/biencoder rerankers for improved retrieval accuracy.
• LLM Serving & Integration :
• Hands-on with Transformers and Hugging Face ecosystem.
• Experience with LLM inference frameworks (vLLM , Text Generation Inference (TGI) ).
• Ability to design streaming prompt patterns, function-calling workflows, and structured JSON outputs.
  

• Integration of ASR → NMT → LLM → TTS pipelines.
• Working with Indic language datasets and multilingual models.
• Familiarity with AI4Bharat stack: IndicConformer ASR, IndicTrans2 NMT, Indic Parler-TTS.
• Latency optimization for real-time conversational systems.
  

• Strong Python development skills (async patterns, streaming APIs).
• Experience building evaluation dashboards (latency tracking, WER/CER, containment, factuality).
• CI/CD and containerization (Docker ).
• Version control (Git/GitHub ) and collaborative workflow.
  

• Safety guardrails for LLMs and prompt validation/unit testing.
• Prior CPaaS or voice/media streaming experience.
• Knowledge of ITU G.114 latency standards and MOS (Mean Opinion Score) evaluation.
• Immediate Joiners
  

• Payment : ₹40,000 – ,000 total for the entire engagement (either for completing all deliverables in 60 days or earlier).
• Faster completion = same pay (if deliverables are met and approved).
• Work Mode : Preferably from our Bangalore office; hybrid arrangement possible.
• Freelancers welcome if they can commit to delivery timelines and quality standards.

At Rayvector, we are looking for talented AI / ML / Computer vision developers who can create cutting-edge ML solutions.

Our ideal candidate will have 2-3 years of experience in Computer vision, strong knowledge of the relevant frameworks, and the analytical skills to solve the problems at hand.

Working across many different departments, this role requires a candidate with a proactive attitude and a good team ethic to unify a common vision.

Responsibilities

• Convert the machine learning models into application program interfaces.
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate the infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure.
• Maintain and improve our existing in-house algorithms and models, including continuous evaluation, fine-tuning
• Optimize algorithm performance across a wide range of development platforms
• Develop evaluation scripts to process and accurately measure algorithmic and end-to-end performance

Qualifications

• Bachelor's or Masters's degree in Computer Science / Mathematics / Applied Mathematics.
• Minimum of 2-3 years of industry experience.

Key Skills

• Strong Python programming experience, familiarity with software development best practices, debugging/profiling
• Experience with OpenCV, PIL, and other image-processing libraries
• Experience with at least one mainstream deep learning framework such as PyTorch and TensorFlow
• Familiarity with data science toolkits such as jupyter lab/notebooks, pandas, bash scripting, Linux environment
• Hands-on experience with different neural network architectures/modules. Experience with CNNs is a plus
• Excellent problem-solving skills.
• Good communication skills

Job Title: AI Engineer

Want to join a startup, but with the stability of a larger organization? Join our innovation team at HGS that's focused on building SaaS products. If you are highly driven & passionate person who'd like to build highly scalable SaaS products in a startup type of environment, you're welcome to apply.

The HGS Digital Innovation Team is designed to create products and solutions relevant for enterprises, discover innovations and to contextualize and experiment with them within a specific industry. This unit provides an environment for the exploration, development, and testing of Cloud-based Digital AI solutions. In addition to that it also looks at rapid deployment at scale and sustainability of these solutions for target business impacts.

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1 product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral, while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-paced environments is critical.

Responsibilities

• Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
• Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs.
• Build secure, scalable, and efficient SaaS products that embody robust data management and comply with security and governance standards.
• Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
• Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
• Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability.
• Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs.
• Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
• Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
• Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.

Qualifications

• Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields.
• 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products.
• Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features.
• Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.
• Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud).
• Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.
• Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments.
• Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success.
• Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.

We're Hiring | Senior Machine Learning Engineer – Applied AI | Bangalore (FANG hiring)

Are you passionate about building scalable, intelligent systems that solve real-world problems?

Do you enjoy transforming cutting-edge machine learning research into production-ready solutions?

We are hiring a Senior Machine Learning Engineer for our Applied AI team based in Bangalore . This is a high-impact role where you’ll work at the intersection of software engineering and data science to bring AI solutions to life.

What You'll Do

• Lead the design, development, and deployment of machine learning models into scalable, production environments
• Build robust, testable ML pipelines and APIs using strong software design principles
• Collaborate with data scientists to develop and optimize models (supervised, deep learning, RL, etc.)
• Implement MLOps best practices: CI/CD for ML, model versioning, monitoring, and automation
• Design data pipelines for model training, inference, and performance tracking
• Work with cross-functional teams to integrate ML into core products
• Stay current with ML advancements and propose practical innovations

What We're Looking For

• 4-9+ years of hands-on experience in ML engineering or related roles
• Strong Python programming skills; exposure to other languages like Java, C++, or Go is a plus
• Solid understanding of software design patterns, algorithms, and distributed systems
• Experience with ML frameworks like PyTorch or Scikit-learn
• Skilled in feature engineering, model evaluation, and performance tuning
• Familiar with SQL/NoSQL databases and big data handling
• Strong communication skills and the ability to simplify technical topics

Preferred Qualifications

• Master’s or PhD in Computer Science, Data Science, or a related field
• Experience with tools like Spark, Kafka, or Hadoop
• Exposure to A/B testing and experimentation frameworks
• Contributions to open-source or a strong personal project portfolio
• Understanding of ML model governance, bias mitigation, and privacy standards

Job Description

• Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
• Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Usecase derivation and solution creation from structured/unstructured data
• Storytelling, Business Communication and Documentation
• Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras
• Exploratory Data Analysis
• Machine Learning and Deep Learning Algorithms
• Model building, Hyperparameter tuning, and Model performance metrics
• MLOps, Data Pipeline, Data engineering
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
• ML services from Clouds such as AWS, GCP, Azure and Databricks
• Optional - Databricks, Big Data -Basic knowledge of Spark, Hive

Roles & Responsibilities

Acquire skills required for building Machine learning models and deploy them for production.

Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills

Develop Cloud based applictions including LLM/GenAI and deploy them into production.

Hiring: AI Engineer (8+yrs)

Bengaluru | Full-time

We’re looking for an AI Engineer to lead initiatives across AI Chatbots , RPA , AI Recommendation Engines and Business Process Automation .

Responsibilities:

• Build & deploy AI chatbots (Dialogflow, Rasa, RAG, etc.)
• Automate processes with RPA tools (UiPath, AA, Blue Prism)
• Design recommendation engines using ML/DL
• Create autonomous AI agents & business automation workflows
• Deploy models via AWS, Azure, or GCP
• Ensure AI solutions follow compliance & ethical standards
• Collaborate with product & tech teams to deliver scalable AI solutions
• Experience in working with RESTful APIs, microservices, and AI frameworks.

Required Skills & Qualifications:

• 8+ years in AI/ML, NLP, and automation
• Strong in Python (preferred), Java, or C++
• Hands-on with TensorFlow, PyTorch, Scikit-learn
• Cloud experience: AWS, Azure, or GCP
• Skilled in RPA tools, big data, APIs, and system integration
• Excellent communication and leadership abilities

Preferred Qualifications:

• Experience in implementing Generative AI solutions (GPT, Llama, BERT, etc.).
• Knowledge of edge AI and embedded AI solutions.

Note -

Candidate should be an Immediate joiner or within 30 days.

This is a Hybrid position in Bangalore (Only Local candidates will be considered for this role or some who can relocate in a day or two)

Details required: (Share your resume to with below details for faster response)

Total Years of experience -

Notice period -

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Job Description:

Responsibilities:

• GenAI, AI/ML, 3+ years experience.
• AI/ML – Agentic AI, GEN AI,Python, PyTorch, Java, LangChain, LLMs, Prompt Engineering, Retrieval Augmented Generation, Vector Databases
• Build agentic AI workflows, Generative AI APIs (Open AI, Anthropic), Model Context Protocol.
• Candidate should be well versed with LLMs, various AI Models (OpenAI, Anthropic) integration, Agentic AI technologies. Proficiency in programming languages such as Python, and Java.

What we offer:

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance
• Corporate social events
• Professional development opportunities