430 AI Scientists jobs in Bangalore

Company Description

Are you a recent Computer Science (this is mandatory ) graduate?

Would you like to work in a Silicon Valley-style fast-charging startup?

Are you ready for long hours in a fast-paced very technical environment (we are all pure hands-on software engineers - no managers, etc., no fluff !)

We are a small, sharp team (ex-Google, ex-Deloitte, ex-EY) focused on cutting-edge AI patterns and techniques to drive tremendous value in Global Trade & Indirect Taxes.

Our upcoming products are getting excellent customer interest!

Our Bangalore (Hebbal) offices are in a fantastic location in an awesome skyscraper with a skydeck

(NOTE: If your LinkedIn location is NOT Bangalore, your application will be rejected)

Role Description

This is a full-time on-site (no WFH/Hybrid) role for an Artificial Intelligence Engineer located in north Bangalore. The AI Engineer will be responsible for tasks such as multi-Agent design and development, multi-modal AI, RAG, Reinforcement Learning, Humand feedback loops, pattern recognition, neural networks, software development, and natural language processing (NLP).

This role is NOT suitable for Front End engineers (MERN/React, etc)

Qualifications

• Only Bachelors in Computer Science or Bachelors in Computer Science and Engineering - graduated in 2022 or more recently.

(We DO NOT accept Bachelors/Masters in Computer Applications, EEE, or any other engineering degree, so please DO NOT apply)

• Pattern Recognition and Neural Networks skills
• Computer Science and Software Development skills
• Core Python or Go(lang) - must be EXCELLENT in coding
• Natural Language Processing (NLP) skills
• Strong analytical and problem-solving abilities
• Experience in developing AI applications
• Preferred: Research-oriented mindset with ability to execute
• Preferred: Master's degree in Computer Science, Artificial Intelligence, or related field

Experience Required:  5-6 Years

Job Type: Full-Time, Remote

Location: Noida (Uttar Pradesh) / Remote

We’re seeking an experienced AI Engineer to build advanced models and automation pipelines for a cutting-edge document verification and identity validation platform. You’ll design, train, and deploy AI systems that analyze documents, match identities, detect fraud, and enable secure, intelligent automation.

·   Build and deploy AI/ML models for document verification, ID recognition, and biometric validation.

·   Develop OCR, NLP, and LLM-based pipelines for automated document analysis and decision-making.

·   Integrate AI modules with Node.js, Angular, and MongoDB systems.

·   Optimize models for real-time accuracy, scalability, and compliance.

·   Collaborate with data and backend teams on automation and workflow intelligence.

·   5+ years of experience in AI/ML engineering or applied data science.

·   Proficiency in Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, and LLMs.

·   Experience with cloud AI services (AWS, GCP, or Azure) and MLOps tools.

·   Strong grasp of data privacy, security, and ethical AI principles.

·   Must be able to read, write, and communicate fluently in English.

·   Bonus: experience with vector databases, RAG, or biometric authentication systems.

What We Offer

• 100% remote flexibility
• Competitive salary based on experience
• Collaborative and innovative work environment
• Opportunities for growth and long-term projects

Send your resume to

Thank you

Inderpreet

AI Engineer - Manufacturing Analysis Platform

Company Overview

We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.

Role Overview

We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.

Key Responsibilities

AI/ML Development

• Design and implement ML models for geometric analysis of injection molded plastic parts
• Develop computer vision algorithms for automated feature detection in 3D CAD models
• Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
• Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
• Design data pipelines for continuous model training and improvement

Platform Architecture

• Architect browser-based AI systems that can process large 3D models efficiently
• Integrate STEP/STL file processing with AI analysis workflows
• Develop WebAssembly modules for high-performance geometry computation
• Build scalable model serving infrastructure supporting real-time analysis
• Implement feedback loops to continuously improve model accuracy

Manufacturing Analysis

• Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
• Build moldflow simulation capabilities using AI-accelerated CFD techniques
• Create cost optimization engines that recommend design changes for manufacturability
• Implement quality prediction models for common injection molding defects
• Design automated report generation with actionable manufacturing insights

Research & Innovation

• Stay current with AI/ML advances in manufacturing and CAD analysis
• Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
• Collaborate with manufacturing experts to validate and improve AI recommendations
• Publish research and represent the company at industry conferences

Required Qualifications

Technical Expertise

• 4+ years of AI/ML engineering experience with production deployments
• Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
• Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
• JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
• Computer vision and geometric deep learning experience
• Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
• Experience with fine tuning ML models

Software Engineering

• WebAssembly development for high-performance browser applications
• Cloud platform experience (AWS, GCP, Azure) for model training and deployment
• Database design for handling large geometric datasets
• Version control and CI/CD best practices

Mathematical Foundation

• Strong linear algebra and calculus background
• Statistics and probability for uncertainty quantification
• Computational geometry and mesh processing algorithms
• Optimization techniques for design parameter tuning

Preferred Qualifications

Domain Knowledge

• Manufacturing engineering background in injection molding or similar processes
• CAD software experience (SolidWorks, Fusion 360, etc.)
• Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
• Materials science knowledge for plastic properties and behavior

Advanced Technical Skills

• Graph neural networks for representing CAD geometry
• Reinforcement learning for design optimization
• Physics-informed neural networks for manufacturing simulation
• Edge computing and model compression techniques
• Real-time rendering with WebGL/Three.js

Education & Experience

• Bachelors or Masters in Computer Science, Engineering, or related field
• 2+ years in manufacturing technology or CAD software companies
• Experience at high-growth startups building technical products from scratch for production
• Open source contributions in AI/ML or manufacturing tools

Shift Timings - 1pm to 10pm or 3pm to 12am

What you will be doing:

· Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots).

· Work with open-source LLMs using platforms like Ollama and Hugging Face.

· Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution.

· Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases.

· Collaborate with cross-functional teams to ship features to production.

· Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI.

Required Skills

· 3–5 years of hands-on experience in AI/ML engineering.

· Proficient in Python, PyTorch, and Hugging Face Transformers.

· Proven experience with LangChain and LangGraph for LLM workflows.

· Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs.

· Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS).

· Skilled in backend integration using FastAPI, Docker, and cloud platforms.

· Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing.

Nice-to-Have

· Experience with LangServe, OpenAI tool/function calling, or agent orchestration.

· Background in multi-modal AI (e.g., image + text analysis).

· Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow).

· Contributions to open-source GenAI projects.

· Understanding of LLM safety, security, and alignment principles.

Position Overview:

We are seeking an experienced Senior AI Developer to join our growing agentic AI team. This role will focus on developing production-grade agentic AI solutions including ReAct agents that drive business value across multiple business units. The successful candidate will architect and implement sophisticated AI agents, RAG systems, and automation workflows that integrate seamlessly into our enterprise technology stack.

Key Responsibilities:

• Design and develop enterprise-scale agentic AI solutions using LangGraph and related frameworks.
• Build and optimize RAG systems (chunking, retrieval strategies, evaluation) with an emphasis on accuracy, latency, and reliability.
• Architect multi-step reasoning workflows that integrate with existing enterprise systems and APIs.
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
• Ensure AI implementations meet enterprise security, compliance, and governance standards.
• Optimize system performance and cost efficiency across multiple LLM providers.
• Mentor junior developers and contribute to AI development best practices.
• Partner with DevOps teams to ensure reliable production deployments.

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or related technical field

Company Description

Are you a recent Computer Science (this is mandatory ) graduate?

Would you like to work in a Silicon Valley-style fast-charging startup?

Are you ready for long hours in a fast-paced very technical environment (we are all pure hands-on software engineers - no managers, etc., no fluff !)

We are a small, sharp team (ex-Google, ex-Deloitte, ex-EY) focused on cutting-edge AI patterns and techniques to drive tremendous value in Global Trade & Indirect Taxes.

Our upcoming products are getting excellent customer interest!

Our Bangalore (Hebbal) offices are in a fantastic location in an awesome skyscraper with a skydeck

(NOTE: If your LinkedIn location is NOT Bangalore, your application will be rejected)

Role Description

This is a full-time on-site (no WFH/Hybrid) role for an Artificial Intelligence Engineer located in north Bangalore. The AI Engineer will be responsible for tasks such as multi-Agent design and development, multi-modal AI, RAG, Reinforcement Learning, Humand feedback loops, pattern recognition, neural networks, software development, and natural language processing (NLP).

This role is NOT suitable for Front End engineers (MERN/React, etc)

Qualifications

• Only Bachelors in Computer Science or Bachelors in Computer Science and Engineering - graduated in 2022 or more recently.

(We DO NOT accept Bachelors/Masters in Computer Applications, EEE, or any other engineering degree, so please DO NOT apply)

• Pattern Recognition and Neural Networks skills
• Computer Science and Software Development skills
• Core Python or Go(lang) - must be EXCELLENT in coding
• Natural Language Processing (NLP) skills
• Strong analytical and problem-solving abilities
• Experience in developing AI applications
• Preferred: Research-oriented mindset with ability to execute
• Preferred: Master's degree in Computer Science, Artificial Intelligence, or related field

applicants can also send the direct resume on with subject Line- AIML Engineer

About the Role

We are seeking a highly skilled and experienced Python AI/ML Engineer to join our dynamic team in Bangalore. The ideal candidate will have a deep understanding of machine learning algorithms, data modeling, and AI technologies. You will be responsible for designing and implementing scalable AI/ML solutions that address complex business problems and enhance decision-making processes.

Responsibilities

• Develop and maintain scalable Python-based applications with a focus on AI/ML integration
• Work with stakeholders to understand business requirements and translate them into technical solutions
• Integrate pre-trained AI models and build custom ML workflows using frameworks such as PyTorch, TensorFlow, Scikit-learn
• Utilize OpenAI, Hugging Face Transformers, LangChain, Azure AI, or other APIs to build intelligent features
• Optimize performance of ML pipelines and ensure security, scalability, and robustness
• Collaborate with data scientists, product owners, and DevOps teams for full lifecycle development

Qualifications

• 5+ Years of experience
• Notice Period: Immediate to 15 days is preferred only
• Location: Bangalore, India

Required Skills

• 4+ years of Python development experience in enterprise environments
• Experience working with AI/ML APIs (e.g., OpenAI, Hugging Face, Google Vertex AI, Azure AI)
• Solid understanding of machine learning fundamentals, model deployment, and REST API integration
• Hands-on with frameworks like FastAPI or Flask for serving models
• Exposure to LangChain, RAG-based architectures, or LLM fine-tuning
• Experience with data handling libraries: Pandas, NumPy, SQLAlchemy
• Familiarity with cloud platforms (Azure, AWS, or GCP) and containerized deployment (Docker, Kubernetes)

Preferred Skills

• Familiarity with vector databases (Pinecone, FAISS, ChromaDB)
• Experience with CI/CD, Git, and agile development
• Prior experience in Banking, Capital Markets, or Risk/Compliance AI solutions.

Equal Opportunity Statement

We are committed to diversity and inclusivity.

Job Summary:

We are looking for an AI Engineer with strong expertise in designing and deploying AI/ML solutions that solve real-world business problems. The ideal candidate combines a deep understanding of machine learning with strong Python scripting skills, enabling them to move from concept to production quickly.

Key Responsibilities:

· Apply AI/ML techniques to business use cases in predictive modeling, NLP, computer vision, and optimization.

· Collaborate with stakeholders to translate business needs into AI-driven solutions.

· Develop and maintain production-ready pipelines for data processing, model training, deployment, and monitoring.

· Leverage Python scripting for automation, data transformation, and workflow orchestration.

· Integrate AI models into applications, APIs, and enterprise systems.

· Continuously evaluate and optimize model performance for accuracy, scalability, and cost-efficiency.

· Stay up to date with emerging AI/ML frameworks, tools, and best practices.

Required Qualifications:

· 4+ years of applied AI/ML experience with proven deployment in production.

· Must have exposure to NLP and Generative AI solutions.

· Experience with containerization (Docker, Kubernetes) for ML workloads.

· Strong hands-on expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

· Experience applying machine learning algorithms to structured and unstructured data.

· Solid knowledge of data pipelines, APIs, and automation using Python scripting.

· Experience with cloud AI/ML services (Azure ML, AWS SageMaker, GCP Vertex AI).

· Familiarity with MLOps practices for deployment, monitoring, and lifecycle management.

· Strong problem-solving ability and business mindset for practical AI applications.

Experience: 3-5 YOE in AI/ML

Location: Bangalore

AI Engineer

Skills we’re seeking:

Azure AI Studio, Prompt Flow, and OpenAI on Azure

Azure AI Foundry, Copilot Studio (Agent Creation & Lifecycle Management)

Power Platform – Power Automate & Power Apps

GitHub Copilot & Responsible AI integration

MLOps pipeline deployment and Azure Cloud expertise

Knowledge of Microsoft 365 (M365) platform

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