Machine Learning Practice Leader Jobs

Provectus

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Category:
IT - Software Development

Contract Type:
B2B

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

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
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
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Additional Information:

Job Posted:
December 11, 2025

Work Type:

Remote work

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Machine Learning Practice Leader