Senior AI/ML Engineer
INR 3799K-5572K (estimate) Senior-level Full Time
Tasks
- Automate model retraining
- Build CI/CD pipelines
- Build ML pipelines
- Build Retrieval Augmented Generation systems
- Build agentic AI systems
- Build computer vision models
- Build generative AI applications
- Build natural language processing systems
- Containerize applications
- Deploy machine learning on aws
- Deploy machine learning on azure
- Deploy machine learning on gcp
- Design machine learning solutions
- Design reusable ai services
- Develop classification models
- Develop deep learning solutions
- Develop predictive analytics
- Develop recommendation models
- Ensure AI governance
- Ensure AI security
- Ensure compliance
- Evaluate foundation models
- Fine-tune foundation models
- Implement AI APIs
- Implement MLOps practices
- Implement function calling
- Implement observability
- Implement vector database workflows
- Integrate enterprise tools
- Manage model lifecycle
- Manage model registries
- Monitor model performance
- Optimize inference
- Orchestrate multi-agent workflows
- Perform feature engineering
- Perform prompt engineering
- Support responsible AI
- Track experiments
- Train machine learning models
- Validate models
Perks/Benefits
- Accident Coverage
- Career growth
- Group term life insurance
- Health insurance
- Hybrid work support
- Paid time off
Skills/Tech-stack
AI Security | AI Services | AWS | Agentic AI | Airflow | Amazon SageMaker | Anthropic Claude | Autogen | Azure | Azure AI | Azure AI Services | Azure DevOps | Azure ML | Azure OpenAI | C# | CI/CD | Classification | Computer Vision | Containerization | CrewAI | Deep learning | Distributed Systems | Docker | Experiment tracking | Fabric | Feature Engineering | GCP | Gemini | GitHub Actions | Governance | Inference Optimization | Java | Kubeflow | Kubernetes | Langchain | Langgraph | Language Processing | LightGBM | Llama | Llamaindex | MLOps | MLflow | Machine Learning | Microservices | Microsoft Copilot | Model Monitoring | Model Registry | Model Training | Model Validation | Natural Language | Natural Language Processing | NumPy | Observability | OneLake | OpenAI | Pandas | Predictive Analytics | PySpark | PyTorch | Python | RAG | Recommendation Systems | Responsible AI | SQL | Scikit-learn | Semantic Kernel | Spark | TensorFlow | Terraform | Vector Databases | XGBoost
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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