New 
Expert Ai Ml Engineer
 Tata Consultancy Services | |
$110,000 - $125,000
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 Oct 29, 2026 | |
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Job Description
Expert AI ML engineer Must Have Technical/Functional Skills Programming Expert-level: *
Python *
PySpark *
SQL Preferred: *
Java *
Scala *
JavaScript/TypeScript AI/ML Frameworks-PyTorch,TensorFlow,Scikit-Learn,XGBoost,LightGBM,Hugging Face,MLflow GenAI Ecosystem-LangChain,LangGraph,LlamaIndex,Semantic Kernel,CrewAI,AutoGen,OpenAI APIs,Gemini APIs,Claude APIs RAG Technologies-Vector Embeddings,Semantic Search,Hybrid Search,Knowledge Graph RAG,Agentic RAG Vector Databases:Pinecone,ChromaDB,Weaviate,FAISS,Azure AI Search Cloud Platforms Must have experience in one or more: Azure,AWS,GCP Strong preference for: Azure OpenAI,Azure AI Foundry,AWS Bedrock,Vertex AI DevOps & MLOps-Docker,Kubernetes,GitHub Actions,Jenkins,Terraform,ArgoCD,CI/CD Databases-Oracle,SQL Server,PostgreSQL,MongoDB Roles & Responsibilities Generative AI & LLM Engineering *
Design and implement enterprise-scale GenAI applications using OpenAI, Claude, Gemini, Llama, Mistral, and other foundation models. *
Build production-grade RAG architectures with vector search and semantic retrieval. *
Develop AI-powered applications using prompt engineering, contextual retrieval, tool calling, and memory management. *
Optimize LLM performance, latency, throughput, hallucination reduction, and response accuracy. *
Design hybrid AI architectures combining structured data, unstructured documents, APIs, and enterprise knowledge sources. *
Implement guardrails, responsible AI controls, content filtering, and compliance frameworks. Agentic AI & Multi-Agent Systems *
Build intelligent autonomous and semi-autonomous agentic systems. *
Develop agent workflows using: LangGraph,CrewAI,AutoGen,Semantic Kernel,MCP (Model Context Protocol),Agent-to-Agent Architectures *
Implement: Planning Agents,Task Decomposition Agents,Reflection Agents,Tool Use Agents,Multi-Agent Collaboration Frameworks *
Develop dynamic orchestration frameworks for enterprise workflows. *
Build human-in-the-loop validation and approval mechanisms. Retrieval Augmented Generation (RAG) *
Build advanced RAG pipelines for banking use cases. *
Implement: Hybrid Search,Semantic Search,Metadata Filtering,Re-ranking Models,Knowledge Graph RAG,Agentic RAG *
Develop ingestion pipelines for: PDFs,SharePoint,Confluence,Databases,APIs,Message Queues *
Optimize chunking, embeddings, retrieval accuracy, and respons e grounding. AI/ML Engineering *
Build supervised and unsupervised machine learning solutions. *
Design and deploy: Classification Models,Regression Models,Recommendation Systems,NLP Models,Time Series Forecasting,Anomaly Detection Models *
Fine-tune foundation models and open-source LLMs. *
Develop model evaluation and benchmarking frameworks. Data Engineering *
Design scalable data platforms supporting AI workloads. *
Build: ETL Pipelines,Real-Time Streaming Pipelines,Batch Processing Pipelines *
Work with: Kafka,Spark,Databricks,Airflow,Hadoop Ecosystem,Delta Lake *
Develop enterprise metadata and lineage solutions. *
Handle large-scale structured and unstructured data processing. MLOps & AI Platform Engineering *
Design end-to-end MLOps frameworks. *
Implement: Model Registry,Feature Store,Experiment Tracking,Automated Retraining,Continuous Monitoring *
Build CI/CD pipelines for AI applications. *
Enable production deployment through Kubernetes and containerized environments. *
Develop observability dashboards and operational runbooks. Banking Domain Responsibilities *
Build AI use cases supporting: Capital Markets,Investment Banking,Trading Operations,Risk Management,Treasury,Compliance,AML/KYC,Regulatory Reporting *
Apply AI governance standards for regulated financial environments. *
Ensure solutions meet banking security, audit, privacy, and compliance requirements. Salary Range- $110,000-$125,000 a year Location
Pennington, NJ
Function
TECHNOLOGY
Role
Engineer
ID
432772
Skills
Artificial intelligence
Salary Range
$110,000 - $125,000 | |