Machine Learning Engineer Team Leader, WARSZAWA RZESZÓW GDAŃSK WROCŁAW
Your profile:
- 8+ years of experience in Machine Learning or Data Science roles in production environments,
- 2+ years of direct people management experience,
- proven track record in leading end-to-end model training initiatives for business use cases,
- strong practical expertise in the full model lifecycle: data preparation, feature engineering, training, evaluation, calibration, and controlled rollout,
- hands-on proficiency in Python and SQL, with strong understanding of ML/deep learning frameworks (e.g., pytorch or tensorflow) and scalable data processing workflows,
- experience operating ML workloads in cloud environments, preferably GCP (Vertex AI, BigQuery, Cloud Storage),
- proven ability to drive cross-functional execution across ML, serving, and product domains, ensuring strategic alignment and performance visibility for stakeholders,
- strong decision-making based on business impact metrics (revenue, GMV, conversion) and experimentation results,
- very good command of English, both written and spoken, enabling effective collaboration in an international and cross-functional environment,
- openness to on-site workshops max 1-3 per quarter in Warsaw.
Work from the European Union region and a work permit are required.
Nice to have:
- experience in AdTech, marketplace ranking, or recommendation systems at scale,
- familiarity with model artifact repositories, CI/CD for ML, experiment tracking frameworks, and feature store integrations,
- exposure to online inference environments and cooperation with platform teams maintaining such services,
- experience with developing pCTR/pCVR-like models.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
,[ensuring that the team delivers high-quality ML Scoring solutions (e.g., click and conversion predictions) on schedule,, maintaining responsibility for the team's technical output and project milestones,, managing the training scope for deep learning models, including feature space definition and model lifecycle standards,, orchestrating the transition of scoring responsibilities from existing teams in cooperation with backend and product stakeholders,, providing expert insight to future roadmaps for the ML scope.] Requirements: Python, SQL, Machine learning, Deep learning, People Management, PyTorch, TensorFlow, GCP, Cloud Storage, BigQuery, Vertex AI, CI/CD, pCTR, pCVR Additionally: Training budget, Private healthcare, Multisport, Integration events, International projects, Mental health support, Referral program, Modern office, Canteen, Free snacks, Free beverages, Free tea and coffee, No dress code, Playroom, In-house trainings, In-house hack days, Normal atmosphere :).