Job Description

Locations : Bangalore, Pune, Mumbai, Mohali (Programming.com Office)

Must have skills - MCP, Agentic AI, RAG, ML, Python, LLM

Key Responsibilities

Demonstrate ability to work on data science projects involving predictive modelling, NLP, computer vision, document processing, statistical analysis, vector space modelling, machine learning and agentic AI workflows Design and implement automated document validation and information extraction systems using OCR, computer vision, and NLP techniques to process physical documents and validate against existing databases Develop intelligent multi-agent RAG (Retrieval-Augmented Generation) systems and advanced chatbot architectures for complex enterprise applications Build AI voice agents and conversational systems to automate human validation processes and customer interactions Create scalable document intelligence pipelines that extract, validate, and transform information from various document types and formats Leverage rich datasets to perform research, develop models and create AI-powered data products with Development & Product teams Develop novel and scalable AI systems in cooperation with system architects that enhance automation capabilities and user experiences Design, develop, and deploy end-to-end machine learning solutions using classical ML algorithms, deep learning frameworks, and generative AI models for document processing and intelligent automation Build and optimize large-scale ML pipelines for training, inference, and model serving in production environments across cloud platforms Implement and fine-tune foundation models, including LLMs, vision models, and multimodal AI systems for document understanding and conversational applications Lead experimentation with cutting-edge generative AI techniques including prompt engineering, RAG systems, AI agents, MCPfor complex task automation and decision-making Collaborate with product managers and engineering teams to identify high-value AI opportunities and translate business requirements into technical solutions
Required Qualifications

Technical Expertise

Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python with strong proficiency in SQL and ML frameworks (scikit-learn, TensorFlow, PyTorch) Should have done one or more projects involving fine-tuning with LLMs Experience in feature selection, building and optimising classifiers Experience working with backend technologies such as Flask/Gunicorn etc. Extensive experience with deep learning architectures (CNNs, RNNs, Transformers, GANs) and modern optimization techniques Hands-on experience with generative AI technologies including LLMs (GPT, BERT, T5), prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and MCP integration for context-aware AI applications. Experience designing and implementing AI agent architectures, multi-agent systems, and autonomous decision-making frameworks Strong expertise in document processing, OCR, information extraction, and computer vision applications for automated validation systems Experience with conversational AI, voice recognition technologies, and building intelligent chatbot systems Proficiency with cloud platforms (AWS, GCP, Azure) and ML operations tools (MLflow, Kubeflow, Docker, Kubernetes) Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques Proven track record of deploying ML models in production environments with demonstrated business impact Experience with A/B testing, causal inference, and experimental design methodologies Knowledge of workflow automation, system integration, and API development for seamless AI solution deployment
Job Type: Full-time

Pay: ₹2,200,000.00 - ₹2,500,000.00 per year

Benefits:

Health insurance Provident Fund
Work Location: In person