IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build RAG systems
- Build microservices for AI workloads
- Conduct experimentation with A B testing
- Create CI/CD pipelines for ML
- Deploy ML models with MLOps
- Design AI infrastructure with Kubernetes
- Design machine learning models
- Develop LLM applications
- Fine-tune and evaluate machine learning models
- Implement feature engineering and embeddings
- Implement prompt engineering
- Manage vector databases and semantic search
- Monitor deployed models
- Optimize models for performance and security
- Process big data using Spark
- Serve LLMs using LLM serving platforms
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Dimensionality Reduction | Embeddings | Experiment tracking | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Jenkins | Knowledge Distillation | Kubernetes | LLM optimization | Langchain | MLOps | MLflow | Microservices | Model Quantization | Model retraining | PyTorch | Python | RAG | SQL | Service Mesh | Spark | Statistical Hypothesis Testing | TF-Serving | TensorFlow | Terraform | Torchserve | VLLM | Vector Database | Vector Search
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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