MLops Engineer
EXL Health - dallas, TX
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Required Qualifications: Candidate shall have a robust background in Machine learning operations, a deep understanding of software development best practices, and multiple programming languages, frameworks, and technologies. Atleast 6 + years of experience in ML and MLOPS technologies. Excellent documentation skill with attention to logic, structure, and clarity. Strong hands-on programming skills in Python with multiple design patterns. Strong hands-on expertise in Kubernetes and Docker, having ability to build and optimize container images. Strong problem-solving abilities with a capacity to quickly dive deep into issues and propose effective solutions. Ability to manage multiple concurrent tasks and prioritize effectively in fast-paced environments. Preferred Qualification: Experience in collaborating with data scientist to solve ML model execution related challenges, and able to suggest different solution architecture for overcoming the challenges. Experience with machine learning tools among phases in MLOps life cycle such as feature store (FEAST), model registry, problem optimizer (GUROBI) or real-time model serving. Preferred Certifications: CKA - Certified Kubernetes Administrator Good Understanding of machine learning platforms such as Kubeflow and VertexAI, and frameworks such as XGBoost, PyTorch and TensorFlow. Hands-on expertise in SQL. Experience with designing and deploying machine learning models in production environment.
Created: 2024-10-21