Senior Generative AI / ML Engineer

Job Description Senior Generative AI / ML Engineer

Job Title: Senior Generative AI / Machine Learning Engineer

Experience: 8 12 Years

Location: Bangalore, India

Job Summary We are looking for an experienced Senior Generative AI / Machine Learning Engineer with 8 12 years of IT experience to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate should have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Python, Data Engineering, and MLOps . The role involves building scalable AI applications, productionizing ML pipelines, collaborating with cross-functional teams, and delivering secure, responsible AI solutions on cloud platforms.

Key Responsibilities

• Design, develop, and deploy enterprise-scale Generative AI applications using LLMs, RAG, AI Agents, and Prompt Engineering.
• Build scalable and production-ready ML pipelines using Python and modern MLOps practices.
• Design and implement RAG architectures integrating vector databases, embeddings, and enterprise knowledge sources.
• Develop and deploy REST APIs and AI services for production environments.
• Productionize ML models using Docker, Kubernetes, MLflow, CI/CD pipelines, and cloud-native services.
• Perform model evaluation, benchmarking, monitoring, drift detection, and continuous improvement.
• Implement Responsible AI practices including model governance, bias detection, explainability, and security.
• Build and optimize data pipelines using SQL, ETL, and cloud-based data engineering tools.
• Collaborate with business stakeholders to gather requirements, perform requirement analysis, and convert business needs into scalable technical solutions.
• Work closely with Data Engineers, Cloud Engineers, Architects, and Client teams to deliver AI-driven solutions.
• Ensure scalability, reliability, observability, and performance optimization of AI applications.
• Stay updated with the latest advancements in Generative AI, Agentic AI, and machine learning technologies.

Required Skills Mandatory Skills

• 8 12 years of overall IT experience.

• Minimum 6+ years of hands-on experience in Python-based Machine Learning development.

• Strong experience in Generative AI, including:

• Large Language Models (LLMs)

• Retrieval-Augmented Generation (RAG)

• AI Agents / Agentic AI

• Prompt Engineering

• Strong expertise in Python for AI/ML application development.

• Experience in productionizing ML models and AI applications.

• Strong knowledge of Machine Learning algorithms and statistical analysis.

• Experience with Model Evaluation, validation, monitoring, and Responsible AI practices.

• Strong Data Engineering experience using:

• SQL

• ETL

• Data preprocessing and transformation

• Experience with cloud platforms:

• AWS

• Microsoft Azure

• Google Cloud Platform (GCP)

• Strong MLOps expertise including:

• MLflow

• Docker

• Kubernetes

• CI/CD pipelines

• Model deployment and monitoring

• Experience building scalable Python APIs using FastAPI or Flask.

• Strong analytical, problem-solving, and requirement elicitation skills.

• Ability to convert business requirements into scalable technical designs.

Preferred Skills

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel.
• Experience with vector databases such as Pinecone, FAISS, ChromaDB, Milvus, or Weaviate.
• Knowledge of Hugging Face Transformers and OpenAI/Anthropic/Gemini APIs.
• Experience with distributed data processing using Spark or Databricks.
• Familiarity with Terraform and Infrastructure as Code (IaC).
• Experience with monitoring tools such as Prometheus and Grafana.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
• Relevant cloud or AI certifications are an added advantage.

Essential Competencies

• Requirement elicitation and business analysis
• Solution architecture and technical design
• Strong communication and stakeholder management
• Client-facing consulting experience
• Excellent analytical and problem-solving skills
• Agile/Scrum development experience
• Team collaboration and mentoring capabilities