IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Build ML pipelines and automated model retraining
- Build RAG systems
- Containerize and orchestrate ML services on Kubernetes
- Create experiment tracking and version control workflows
- Create vector database and semantic search solutions
- Design and fine-tune machine learning models
- Develop and deploy LLM solutions
- Develop microservices for AI ML workloads
- Implement embedding optimization and dimensionality reduction
- Implement infrastructure-as-code and CI/CD pipelines
- Optimize LLMs for performance and security
- Perform LLM prompt engineering
- Set up model monitoring and deployment workflows
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | CloudFormation | Dimensionality Reduction | Docker | Embedding Optimization | FastAPI | Feature Engineering | Git | GitHub Actions | Helm | Hugging Face | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | MLOps | MLflow | Microservices | Model Monitoring | Model retraining | Prompt engineering | PyTorch | Python | Quantization | RAG | SQL | Semantic Search | Spark | Statistical Hypothesis Testing | TF-Serving | TensorFlow | Terraform | Torchserve | Transformers | VLLM | Vector Database | “as-code”
Education
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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