AI/ML Engineer
INR 1860K-4000K (estimate) Mid-level Full Time
Tasks
- Add input output filtering and safety defenses
- Build CI/CD pipelines
- Build RAG pipelines
- Deploy models and agents to production
- Design autonomous AI agents
- Design multi-agent orchestration systems
- Develop prompt templates and prompt libraries
- Evaluate and fine-tune foundation models
- Implement MLOps infrastructure
- Implement evaluation metrics for LLM agents
- Integrate AI agents with enterprise APIs and systems
- Manage vector search and embeddings
- Optimize cost and performance for agent workflows
- Orchestrate workflows and scheduled pipelines
- Package applications into Docker containers
- Preprocess and ingest structured and unstructured data
- Provision infrastructure with Infrastructure-as-Code
- Set up monitoring logging tracing and alerting
- Use version control and code review
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent Builder | AI Pipelines | AI vector search | Agent Builder | Airflow | AlloyDB | BigQuery | CI/CD | Cloud Build | Cloud Composer | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud Trace | Cloud logging | CrewAI | Deep learning | Docker | Embeddings | Fine Tuning | Function Calling | GKE | Gemini | Git | GitLab CI | Grafana | GraphQL | Jenkins | Kubernetes | LLM Evaluation | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Model Context Protocol | Model Fine-tuning | Monitoring | Natural Language | Natural Language Processing | NoSQL | Prometheus | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | TensorFlow | Terraform | Transformers | Vector Databases | Vector Search | Vertex AI | Vertex AI Agent Builder | Vertex AI Vector Search | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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