AI/ML Role with Agentic AI Exposure
3 days ago
Role : AI/ML Role with Agentic AI Exposure
Location : Iselin, NJ (Hybrid)
Rate: $60/hr.
I/ML Role with Agentic AI Exposure - Key Elements
Core Responsibilities
- Design and implement agentic AI systems that autonomously plan and execute tasks to meet user-defined goals. Very focused on python code generation .
- Develop and deploy LLM-based agents using frameworks like LangChain, LangGraph, and custom runtimes.
- Integrate AI agents with external APIs and services , enabling orchestration across enterprise workflows.
- Build and maintain pipelines for training, testing, and deploying models in production environments (e.g., Azure ML).
Technical Skills Required
- Programming : Python, SQL, PySpark,
- Frameworks & Tools : LangChain, LangGraph,HuggingFace Transformers, OpenAI API, databricks
- Cloud Platforms : Azure,
- ML/AI Techniques : Reinforcement learning, multimodal models, vector databases (e.g., FAISS, Pinecone), NLP.
- DevOps : CI/CD pipelines, Docker, Kubernetes, Airflow.
gentic AI Exposure
- gentic AI refers to autonomous or semi-autonomous software entities that perceive, decide, and act to achieve goals in digital or physical environments.
- Roles often involve building multi-agent systems, enabling emergent behaviors, and ensuring robustness and trustworthiness in agent actions.
- Use cases Generate Python code from business rules and RAG, include automating workflows, generating reports.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
- 3-10 years of experience in AI/ML, with at least 2 years in agentic AI or autonomous systems.
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