- Strong programming experience in Python and AI/ML engineering.
- Strong foundation in Machine Learning, Deep Learning, and Statistical Modeling.
- Hands-on experience with ML algorithms, predictive modeling, classification, regression, and clustering.
- Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Strong experience in Generative AI, LLMs, and Agentic AI.
- Experience building AI agents and multi-agent architectures.
- Knowledge of RAG, embeddings, vector databases, and prompt engineering.
- Experience with LangChain, LangGraph, or similar AI frameworks.
- Exposure to OpenAI, Azure OpenAI, Anthropic Claude, or other LLM platforms.
- Experience with MLOps, model deployment, monitoring, and model lifecycle management.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Strong technical leadership and stakeholder management skills.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified