IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Automate model retraining
- Build LLM applications
- Create microservices for ML workloads
- Deploy ML models and monitor performance
- Design feature engineering pipelines
- Develop AI/ML solutions
- Evaluate ML models
- Execute A/B testing experiments
- Implement RAG systems
- Implement container orchestration
- Implement semantic search
- Manage vector databases
- Optimize LLM performance
- Set up CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Deep learning | Dimensionality Reduction | Embeddings | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Quantization | RAG | Rust | SQL | Semantic Search | Spark | Statistical Hypothesis Testing | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Database | “as-code”
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