IN_Senior Manager_ AI/ML Engineer_Data & Analytics_Advisory_Gurugram
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build RAG systems with vector databases
- Build big data processing workflows
- Create Infrastructure as Code and CI CD pipelines
- Deploy and monitor ML models
- Design LLM algorithms and models
- Develop AI and ML solutions
- Develop ML pipelines and model retraining
- Implement microservices architecture
- Manage containers and Kubernetes deployments
- Optimize LLMs for performance and security
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS CloudFormation | Apache Spark | Artificial Intelligence | Azure | B testing | CI/CD | Concurrency | Containerization | Dimensionality Reduction | Embeddings | Experimental Design | FastAPI | Feature Engineering | Git | GitHub Actions | Google Cloud | Helm | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model Quantization | Network Security | Prompt engineering | Python | RAG | Service Mesh | Statistical Hypothesis Testing | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Database | “as-code”
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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