ML Practice Leader (with GenAI)

Provectus; España; On-site; PHP 1,200,000 - 1,500,000; Full time

Job summary

A leading technology company based in the Philippines is seeking a Practice Leader who will take charge of managing teams and ensuring technical leadership within AI projects. Candidates should possess extensive experience in Python, ML project lifecycles, and have strong organizational and mentoring skills. The position involves hiring new talent, conducting performance reviews, and fostering a collaborative culture while also embracing innovative tools to enhance the recruitment process.

Qualifications

• Practical experience with training datasets and human annotators.
• Experience in team leadership and mentoring.
• Ability to resolve conflicts with diplomatic skills.

Responsibilities

• Build effective teams and share best practices.
• Mentor engineers and encourage knowledge sharing.
• Evaluate and improve team knowledge gaps.
• Collaborate with other managers across the company.

Skills

Python patterns & best practices

ML project lifecycle

Deep Learning models

Natural Language Processing (NLP)

Computer Vision (CV)

DataOps or ML/MLOps

Model monitoring

Transformers understanding

Tools

AWS

MLOps platforms

Open source alternatives

Job description

A Practice Leader is the first point of contact for their direct reports and serves as a liaison between senior leaders, HR, and engineers. The role is a blend of people management and technical leadership, requiring senior-level expertise in the Practice.

Key Qualifications

• 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

Responsibilities

• 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
• Collaborate with other managers across the company
• Communicate and follow the company's mission, vision, and values

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.