Ofertas de empleo en Provectus

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Teletrabajo . Python

A Practice Leader is the first point of contact for their direct reports, and they liaise and relay information between senior leaders, HR, and engineers.

The role of a Practice Leader is probably the most important because this is the first line of people management, and it provides things to be done. On the one hand, a PL is a part of the Practice, so this person must be at least senior-level in their specialty. On the other hand, a Practice Leader is a people manager.

The complete list of requirements looks like the following:

• Practical experience and strong understanding of Python patterns & best practices
• Strong understanding of ML project lifecycle
• Practical experience with creating training datasets involving human annotators
• Experience with writing Deep Learning models from scratch
• Experience in >1 of the following areas: NLP, CV, forecasting, recommender systems
• Strong experience with agentic workflows, RAG architecture, and GraphRAG
• Experience and in-depth understanding of transformers
• Practical experience with /AWS/other cloud/open source alternatives/ MLOps platforms, frameworks, and libraries
• Practical experience with model post-production & maintenance: model and data monitoring, retraining automation, etc
• Ability to make reusable components of ML pipelines
• Practical experience with a variety of data sources (OLTP, OLAP, DataLake, Streaming)
• Experience in DataOps or ML/MLOps would be a significant plus
• Ability to explain decisions, status, and roadmap to non-technical customer representatives
• Experience in team/department leadership
• Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve goals
• Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts
• Calmness. People are complicated, and you need to be ready for any objectives or misunderstandings
  
  
  
  
  

• Build effective teams
• Participate in meetups, conferences, and build community
• Share best practices and culture with the team
• Mentor engineers, coach Team Leads, and encourage others to share knowledge
• Have technical excellence and be an influencer in different teams/projects
• Hire and onboard newcomers
• Conduct performance reviews, 1-on-1 meetings
• Identify and address team gaps in knowledge
• Evaluate, improve, and maintain processes
• Сollaborate with other managers across the company
• Communicate and follow the company's mission, vision, and values
  
  
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo . Python AWS Machine Learning

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
  
  
  
  
  

• 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
  
  
  
  
  

• 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