Team Leader – Machine Learning

At neXa, we’re not just building digital solutions — we’re helping businesses grow smarter. We work with forward-thinking clients across industries to design, build, and implement technology that makes a real difference. From intelligent automation to custom applications, our projects are as diverse as our team.

We’re now looking for a Team Leader, Machine Learning to join a high-energy team delivering large-scale machine learning solutions that power data-driven products. This role combines people leadership with technical oversight, offering the opportunity to lead a team of ML Engineers and Data Scientists while driving the end-to-end delivery of production-grade machine learning models. You will work closely with engineering, product, and business stakeholders to shape the ML roadmap, ensure technical excellence, and deliver measurable business impact.

Responsibilities:

• Lead, mentor, and develop a team of Machine Learning Engineers and Data Scientists, fostering a culture of collaboration, ownership, and continuous improvement

• Take responsibility for the team’s technical delivery, project milestones, and overall quality of machine learning solutions

• Plan, coordinate, and oversee end-to-end model development initiatives from concept through production

• Define and evolve machine learning architecture, feature engineering strategies, and model lifecycle standards

• Guide the development, evaluation, calibration, deployment, and continuous improvement of production

• ML models Collaborate with engineering, product, and business stakeholders to align machine learning initiatives with strategic objectives

• Drive cross-functional execution across machine learning, software engineering, and product teams

• Monitor model performance, analyze business impact, and recommend improvements based on experimentation and data insights

• Support the adoption of engineering best practices, scalable ML workflows, and modern MLOps standards

• Contribute to long-term technical roadmap planning and continuous evolution of machine learning capabilities

Requirements:

• 8+ years of experience in Machine Learning, Data Science, or related roles delivering production-grade ML solutions

• Minimum 2 years of direct people management experience leading technical teams

• Proven experience leading end-to-end machine learning projects from data preparation through production deployment

• Strong practical knowledge of the complete ML lifecycle, including feature engineering, model training, evaluation, calibration, deployment, and monitoring

• Advanced programming skills in Python and SQL

• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow Experience working with cloud-based ML platforms, preferably Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage)

• Experience building scalable machine learning pipelines and distributed data processing workflows

• Strong stakeholder management and communication skills, with experience collaborating across engineering, product, and business teams

• Proven ability to make data-driven decisions based on business metrics and experimentation results

• Experience working with large-scale datasets in production environments

• Native-level Polish

• Good command of English (B2+ level or higher)

Nice to have:

• Experience with AdTech, recommendation systems, marketplace platforms, or ranking algorithms

• Experience with MLOps practices, including model artifact repositories, experiment tracking, feature stores, and CI/CD for machine learning

• Experience supporting online inference environments and collaborating with platform engineering teams

• Experience developing click-through rate (pCTR) or conversion prediction (pCVR) models

• Knowledge of distributed data processing technologies such as Dask or Spark

• Experience leading strategic roadmap planning for machine learning initiatives