Engineering Manager, Data Platform & ML Ops

📋 Description Lead and mentor a team of engineers working across data platforms and ML operations. Own the reliability, scalability, and continuous improvement of internal data infrastructure Oversee the complete ML lifecycle, including experimentation, training pipelines, model deployment Provide technical guidance by contributing to architecture discussions, reviewing solutions, and Collaborate with data scientists, product managers, analysts, and engineering leaders to turn data Establish engineering standards, processes, and best practices across data engineering and ML 🎯 Requirements At least 2 years of experience managing engineering teams focused on data platforms, machine 5+ years of professional experience in data engineering, ML engineering, or software engineering Strong understanding of both data infrastructure and machine learning systems, with the ability to Experience leading engineers across multiple technical disciplines and supporting high-performing Proven ability to deliver reliable data products and platforms with a focus on quality Experience driving technical change and innovation in fast-paced, growing organizations. 🎁 Benefits Remote-friendly work environment with flexibility to work from your preferred location. Competitive compensation package aligned with experience, skills, and market conditions. Opportunity to work on advanced data and machine learning systems at significant scale. Chance to lead and grow a talented engineering team while shaping technical strategy. Exposure to modern technologies across data platforms, ML operations, and cloud infrastructure. Inclusive workplace culture that values diverse perspectives and backgrounds.