IN_Sr Associate_GEN / Agentic AI Engineer _D&A_Advisory_Gurgaon
Gurugram 10 C, India
INR 3000K-5500K (estimate) Senior-level Full Time
Tasks
- Build RAG systems with vector databases
- Conduct A/B testing for ML models
- Design microservice architecture for AI services
- Develop LLM inference architectures
- Develop data pipelines for ML workloads
- Fine-tune and evaluate large language models
- Implement REST and gRPC APIs
- Implement semantic search and chatbot solutions
- Manage CI/CD pipelines
- Optimize models using quantization and knowledge distillation
- Orchestrate ML workloads on Kubernetes
- Perform prompt engineering for LLMs
- Provision infrastructure using infrastructure-as-code
- Track experiments and manage model versions
- Train and deploy machine learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | CloudFormation | Concurrency | DVC | Deep learning | Dimensionality Reduction | Embeddings | FastAPI | Feature Engineering | Fine Tuning | GRPC | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Microservices | Model Quantization | Prompt engineering | Pulumi | PyTorch | Python | RAG | REST | Rust | SQL | Semantic Search | Service Mesh | Spark | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Databases | “as-code”
Roles
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