IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Gurugram
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Automate model retraining
- Build Spark data pipelines
- Create and track experiments
- Deploy models with Kubernetes
- Design chatbot and recommendation systems
- Design machine learning models
- Develop AI and ML solutions
- Develop microservices
- Develop translation services
- Implement CI/CD pipelines
- Implement LLM frameworks
- Implement RAG systems
- Implement semantic search
- Manage vector databases
- Monitor deployed models
- Optimize models with quantization
- Perform prompt engineering
- Provision infrastructure as code
- Serve LLMs with vLLM
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | Chatbots | CloudFormation | Concurrency | Containerization | Dimensionality Reduction | Embeddings | Experimental Design | FastAPI | Feature Engineering | Fine Tuning | GCP | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM | Langchain | MLOps | MLflow | Microservices | Model Evaluation | Model Quantization | Prompt engineering | Python | RAG | Recommendation Systems | Rust | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Databases | “as-code”
Education
Bachelor of Engineering | Master of Business Administration | Master of Computer Applications | Master of Engineering
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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