Sr Software Engineer III - AI (IND)
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Acquire process and manage data for AI integration
- Analyze results and drive improvements
- Apply model quantization
- Build NLP solutions for text classification sentiment analysis topic modeling
- Build REST and gRPC services
- Conduct A/B testing for ML models
- Configure container orchestration for ML workloads
- Create CI/CD pipelines
- Debug and optimize machine learning models
- Design scalable data pipelines
- Develop API management solutions
- Develop microservices architecture
- Document model architectures and experiments
- Implement LLM inference architectures
- Implement semantic retrieval for LLM applications
- Optimize GPU memory usage
- Perform prompt engineering and fine-tuning
- Stay current with AI trends and frameworks
- Use version control for model experiments
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Management | AWS | Apache Spark | Azure | B testing | CI/CD | CloudFormation | Concurrency | DVC | Dimensionality Reduction | Embeddings | FastAPI | Feature Engineering | Fine Tuning | GCP | GRPC | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM Fine-tuning | LLM optimization | Langchain | MLOps | MLflow | Machine Learning | Microservices | Model Monitoring | Model Quantization | NumPy | Pandas | Prompt engineering | Pulumi | PyTorch | Python | RAG | REST | SQL | Scikit-learn | Service Mesh | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Databases | “as-code”
Education
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