Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
LP
AI Engineer-Banking
Posted via LinkedIn Recruiter (not a company profile)
Posted last month
About the role
- Design, build, and deploy AI/ML solutions for banking, including LLM fine-tuning, MLOps, and scalable production systems.
Responsibilities
- Develop end-to-end AI and ML pipelines, fine-tune LLM-based applications, deploy models using CI/CD, build microservices/APIs, implement monitoring, collaborate with data engineering, ensure data quality, evaluate new AI frameworks, prototype solutions, stay updated with advancements, partner with product managers, coordinate with cloud/DevOps, and communicate technical concepts.
Requirements
- Strong programming in Python with NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow; experience with LLMs, NLP, or deep learning; solid knowledge of MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes); familiarity with cloud platforms (AWS, GCP, Azure); deep understanding of data structures, algorithms, and software engineering best practices; excellent communication; time management; attention to detail; documentation skills; problem-solving. Nice to have: banking/financial experience, Agile methodology.
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