IN-Manager_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build LLM applications using RAG
- Conduct A B testing and statistical hypothesis testing
- Create ML pipelines for training and retraining
- Deploy microservices with Kubernetes
- Design and optimize algorithms models and systems
- Develop AI and ML solutions
- Implement infrastructure-as-code
- Implement prompt engineering and evaluation
- Perform feature engineering and dimensionality reduction
- Process large-scale data with Spark
- Serve ML models using FastAPI and vLLM
- Set up CI/CD pipelines
- Track experiments and manage version control
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Deep learning | Dimensionality Reduction | Embedding | Experiment design | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Go | Helm | Hugging Face | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM | Langchain | MLOps | MLflow | Machine Learning | Microservices | Model Monitoring | Model Serving | Model retraining | Prompt engineering | PyTorch | Python | Quantization | RAG | Rust | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Database | “as-code”
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