Lead MLOps Engineer | Remote-Friendly

April 16

Velotio Technologies

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Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises

DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering

201 - 500

Description

• Responsible for providing technical leadership and execution expertise to design and deliver end-to-end MLOps engineering solutions • Play a pivotal role in bridging the gap between data science and operations • Collaborate closely with data scientists, data engineers, and data architects to build scalable, reliable, and automated machine learning pipelines • Deploy and maintain various types of AI/ML models in production • Design, develop, and maintain a Feature Store, online and offline, as needed to accelerate data science initiatives and support real-time use cases • Develop and implement standards and best practices for MLOps discipline and ensure consistency • Work closely with data scientists, software engineers, and data engineers to ensure successful deployment and management of AI/ML models • Develop and maintain MLOps related infrastructure • Stay abreast of current and emerging technologies to improve efficiency, reliability, and scalability

Requirements

• 5+ years of experience in data science or engineering roles • 3+ years of hands-on professional MLOps engineering experience • Strong knowledge of modern machine learning techniques • Proficiency in programming and querying languages such as Python and SQL • Proficiency in technologies like MLFlow, Azure ML services, AutoML etc • Proven track record of leading projects and cross-functional teams • Bachelor’s degree in computer science or related quantitative field of study or related experience • Experience working with Agile methodologies • Experience with IoT, software-defined customer experiences, private equity-backed companies

Benefits

• Autonomous and empowered work culture encouraging ownership and growth • Flat hierarchy with fast decision-making • Startup-oriented "get things done" culture • Strong, fun & positive environment with regular celebrations