AI and Data Engineering - Tech Lead III- AI- GR- 39902-72266- JR193826
Entry-level Full Time
Tasks
- Build NLP solutions for text classification sentiment analysis topic modeling
- Collaborate with cross-functional teams
- Debug optimize and enhance machine learning models
- Deploy ML workloads on Kubernetes
- Design data pipelines
- Document model and experiment results
- Implement LLM inference architectures
- Lead AI/ML solution delivery
- Manage model deployment and retraining
- Optimize LLMs using quantization knowledge distillation
- Perform prompt engineering and model fine-tuning
- Process and manage data for AI ML models
- Track experiments with MLflow or DVC
Perks/Benefits
- Best in class amenities and workspaces
- Health insurance
- Learning and development
- Rewards and recognition
- Well-being programs
Skills/Tech-stack
AWS | Azure | CI/CD | CloudFormation | Concurrency | Containerization | DVC | Data Engineering | FastAPI | Fine Tuning | GCP | GPU Memory Optimization | GPU memory | Generative AI | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM Inference | Langchain | MLflow | Machine Learning | Memory Optimization | Microservices | Model Quantization | NumPy | Pandas | Prompt engineering | PyTorch | Python | Rust | SQL | Scikit-learn | Service Mesh | Spark | TF-Serving | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
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