Sr. Ai Engineer - 10+ Years - Immediate Joiner - Max 40 LPA
Tek Grove
Greater Bengaluru Area
Title: AI Engineer – with knowledge of creating agents using frontier models
Locations: Bangalore / Pune
Key Requirements and Responsibilities
- Design and develop AI/ML solutions
- Supervised learning
- Unsupervised learning
- Deep learning
- NLP
- Time-series forecasting
- Anomaly detection
- Build Generative AI applications
- Large Language Models (LLMs)
- Prompt engineering
- Fine-tuning
- Retrieval-Augmented Generation (RAG)
- AI agent frameworks
- Banking domain experience
- Experience working in the banking industry is required/preferred.
- Develop end-to-end AI pipelines
- Data ingestion
- Data preprocessing
- Model training
- Deployment
- Monitoring
- Continuous improvement
- Strong programming expertise
- Python
- SQL
- Scikit-learn
- TensorFlow
- PyTorch
- Hugging Face
- spaCy
- NLTK
- Large-scale data ecosystem experience
- ETL processes
- Data lakes
- Data warehouses
- Streaming platforms
- Spark
- Databricks
- Microsoft Fabric
- MLOps best practices
- CI/CD pipelines
- Model governance
- Explainability
- Monitoring
- Docker
- Kubernetes
- Model deployment
- APIs
- Microservices
- Enterprise application integration
- Cloud AI services
- Azure Machine Learning
- Amazon SageMaker
- Azure or AWS cloud platforms
- Business collaboration
- Translate business requirements into scalable AI solutions
- Measure ROI and business value
- AI innovation
- Reusable AI frameworks
- AI copilots
- Semantic models
- Knowledge graphs
- LangChain / Semantic Kernel orchestration
- Synthetic data techniquesOverall Assessment
This role is aimed at a Senior AI Engineer / GenAI Engineer with expertise in:
- Generative AI and AI Agents
- RAG architecture
- Python and ML frameworks
- MLOps and cloud deployment
- Banking domain knowledge
- Azure/AWS ecosystems
- LangChain and Semantic Kernel