Machine Learning Practice Leader

1 dia atrás


Rio Grande do Sul, Brasil Provectus Tempo inteiro

**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 sponsorship



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