Machine Learning Practice Leader / Engineering Manager

Remote, USA Full-time
This a Full Remote job, the offer is available from: Europe, Armenia About the Role We are looking for a Machine Learning Practice Leader — a senior technical and people leader who will guide the direction of our ML practice, mentor engineers, and ensure delivery excellence across multiple AI-driven projects. This role combines hands-on machine learning expertise with strategic leadership. As a Practice Leader, you’ll manage and grow a team of ML engineers, shape standards and best practices, and act as the bridge between leadership, HR, and engineering teams. Key Responsibilities • Build, lead, and mentor high-performing ML teams • Recruit, onboard, and coach new team members • Set objectives, conduct performance reviews, and drive career growth • Evaluate and improve delivery processes, ensuring consistency across projects • Collaborate with other managers and senior stakeholders across the company • Identify skill gaps, arrange training, and foster a culture of continuous learning • Ensure alignment with the company’s mission, vision, and values • Represent the company at conferences, meetups, and community events Technical Expertise • Deep understanding of Python best practices and ML design patterns • Proven experience across the full ML lifecycle: data preparation, model training, validation, deployment, and monitoring • Experience with deep learning model development and transformer architectures • Strong background in one or more domains: NLP, Computer Vision, Forecasting, Recommender Systems • Expertise in agentic workflows, RAG, and GraphRAG architectures • Practical experience with AWS or other cloud/open-source MLOps platforms • Hands-on experience with model post-production: monitoring, retraining automation, and maintenance • Familiarity with diverse data sources (OLTP, OLAP, DataLake, Streaming) • Experience in DataOps or MLOps is a strong advantage Leadership & Soft Skills • Proven experience managing teams or departments in a technical environment • Ability to coach, mentor, and define clear growth paths for engineers • Strong communication and diplomatic skills — empathy, ethics, and conflict resolution • Calm, structured, and reliable leadership style in high-pressure environments • Confidence to explain complex ML decisions and roadmaps to non-technical stakeholders What We Offer • Attractive annual bonus based on performance • Long-term B2B collaboration • Fully remote setup • Comprehensive private medical insurance or budget for your medical needs. • Paid sick leave, vacation, and public holidays • Continuous learning support, including unlimited AWS certification sponsorshipThis offer from "Provectus" has been enriched by Jobgether.com and got a 83% flex score. Apply tot his job
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