IN-Senior Manager_ AI/ML Engineer __ Data & Analytics _ Advisory _ Gurugram
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build LLM applications and chatbots
- Conduct A B testing and statistical hypothesis testing
- Create CI CD pipelines for ML workloads
- Design RAG systems with vector databases
- Develop and deploy AI/ML solutions
- Develop microservices-based architectures
- Implement MLOps model training deployment and monitoring
- Manage LLM serving and infrastructure
- Optimize LLM performance and security
- Perform fine tuning evaluation and experimentation
- Process big data using Spark for analytics
- Track experiments and manage version control
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | Dimensionality Reduction | Embeddings | FastAPI | Feature Engineering | GCP | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | MLflow | Microservices | Model Quantization | Model retraining | Prompt engineering | PyTorch | Python | RAG | SQL | Service Mesh | Statistical Hypothesis Testing | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database | “as-code”
Education
Bachelor of Engineering | Master of Business Administration | Master of Computer Applications | Master of Technology
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Manager | Senior Manager
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