Architect - Machine Learning
IN MH Mumbai Eureka, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Architect document understanding solutions
- Architect generative AI and LLM solutions
- Build and orchestrate LLM powered agents
- Define governance and responsible AI practices
- Define reusable AI components and services
- Design ML model deployment strategies
- Design end-to-end ML pipelines
- Drive RAG pipeline development
- Ensure integration with enterprise systems
- Implement MLOps practices
- Integrate external LLM APIs
- Lead enterprise AI and ML architecture design
- Mentor data scientists and ML engineers
- Provide technical leadership for solutioning
- Translate business needs into ML solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Agentic Frameworks | Airflow | Artificial Intelligence | Autogen | Azure ML | B testing | BentoML | CI/CD | Computer Vision | CrewAI | Docker | Document Understanding | Embedding Models | Feast | Feature Stores | Fine Tuning | Generative AI | Go | Huggingface | Java | Kubeflow | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | LoRA | MLOps | MLflow | Machine Learning | Microservices | Model Registry | Natural Language | Natural Language Processing | OCR | OpenAI API | PEFT | Prompt engineering | Python | QLoRA | RAG | REST APIs | Ray Serve | Retrieval-Augmented Generation | SageMaker | Scala | Semantic Search | TFX | Transformers | Vector Databases | Vector indexing | Vertex AI
Education
N/A
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