IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build RAG systems
- Build infrastructure as code and CI/CD pipelines
- Create embeddings and dimensionality reduction features
- Deploy and orchestrate containers with Kubernetes
- Design LLM architectures and workflows
- Develop AI and ML models
- Develop LLM serving and deployment
- Develop microservices for ML workloads
- Implement vector database and semantic search
- Optimize LLM performance and security
- Process Big Data with Spark
- Run A B testing and statistical evaluations
- Set up MLOps for model retraining and monitoring
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Azure | B testing | CI/CD | CloudFormation | Deep learning | Dimensionality Reduction | Docker | Embeddings | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM serving | Langchain | MLflow | Machine Learning | Microservices | Model Monitoring | Model retraining | Prompt engineering | PyTorch | Python | Quantization | RAG | SQL | Semantic Search | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database | “as-code”
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