IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Gurugram
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Build LLM applications with RAG
- Build and deploy ML services with microservices
- Design and implement AI/ML solutions
- Develop and optimize ML models and algorithms
- Develop chatbots recommendation systems and translation systems
- Engineer prompts and evaluate model performance
- Implement MLOps for model training deployment monitoring
- Manage ML infrastructure with Kubernetes
- Optimize LLMs with quantization and knowledge distillation
- Process large-scale data with Spark
- Set up CI CD pipelines and experiment tracking
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Deep learning | Dimensionality Reduction | Embedding Optimization | FastAPI | Feature Engineering | Fine Tuning | GCP | GPU Programming | Git | GitHub Actions | Go | Helm | Hugging Face | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM optimization | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Microservices | Model Quantization | Model Serving | Prompt engineering | PyTorch | Python | RAG | Rust | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Databases | Vector indexing | “as-code”
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