remote
Senior AI/ML Engineer - TalentOla
ML Engineer
Lead the design and deployment of production‑grade AI and ML solutions, building end‑to‑end pipelines, agentic workflows, and large‑scale data models using Python, PySpark, and advanced knowledge‑graph and vector‑store technologies.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI/ML pipelines for production environments.
- Build agentic workflows and large‑scale data modeling experiments using knowledge graphs and RAG techniques.
- Implement and optimize vector store solutions for retrieval‑augmented generation.
- Collaborate with cross‑functional teams to translate business requirements into scalable ML services.
- Ensure model quality, performance, and compliance through rigorous testing and monitoring.
Requirements
- Extensive experience with Python and PySpark for data processing and model deployment.
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and knowledge‑graph construction.
- Hands‑on expertise with RAG, vector stores, and retrieval‑augmented generation pipelines.
- Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Excellent communication skills and a passion for driving AI innovation at scale.