IN-Senior Associate_AI Engineer_Data Analytics_Advisory_Mumbai
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Build LLM inference architectures
- Collaborate with data scientists and product managers
- Create data pipelines for ML workloads
- Design and develop data solutions
- Develop and deploy LLM and ML systems
- Develop microservices and APIs
- Document experiments and model architectures with tracking tools
- Implement MLOps for training monitoring and retraining
- Implement RAG and semantic search
- Implement vector databases and embedding optimization
- Manage container orchestration with Kubernetes
- Optimize models with quantization and knowledge distillation
- Perform fine-tuning and evaluation of models
- Process large-scale data with Spark
- Run A B tests and experimental design
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Azure | B testing | CI/CD | Cloud Security | CloudFormation | Dimensionality Reduction | Docker | Embedding Optimization | Experiment tracking | FastAPI | Feature Engineering | Fine Tuning | GCP | GRPC | Git | GitHub Actions | Helm | Hugging Face | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | Langchain | ML model monitoring | MLOps | MLflow | Microservices | Model Monitoring | Model Quantization | Model Serving | Prompt engineering | PyTorch | Python | REST | Retrieval-Augmented Generation | SQL | Semantic Search | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Torchserve | Transformers | VLLM | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | MCA | Master of Engineering | Master of Science | Master of Technology | PhD
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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