Team Up Recruitment

Lead ML Engineer (m/k)

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SeniorZdalnieFull-time·B2B

#398259·Dodano 3 miesiące temu·1

Źródło: Team Up Recruitment

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Tech Stack / Keywords

Machine LearningAIDevOpsTestingMLOpsCloudData SciencePython

Podsumowanie oferty

We are looking for an experienced Lead Machine Learning Engineer to develop production-grade AI and Machine Learning solutions for a large-scale digital ecosystem used by millions of customers. The role combines hands-on technical work with technical leadership and project coordination within an interdisciplinary team including Data Engineers, DevOps specialists, analysts, and Product Owners.

Wymagania

At least eight years of professional experience in Machine Learning, Data Science, or a related field.
Advanced Python and SQL skills, supported by commercial experience in developing ML solutions.
Strong knowledge of tools and libraries such as pandas, NumPy, scikit-learn, XGBoost, or PyTorch.
Experience with cloud-based environments, preferably Microsoft Azure.
Practical knowledge of MLOps and infrastructure tools such as MLflow, Airflow, Docker, and Kubernetes.
Experience designing and maintaining scalable data, model-training, and deployment pipelines.
Familiarity with Git, CI/CD, automated testing, and software engineering best practices.
Proven ability to deliver ML solutions from initial concept to monitored production deployment.
A proactive, independent, and well-organised approach.
Strong communication skills and the ability to cooperate with technical and non-technical stakeholders.
English proficiency at B2 level or higher.

Nice to have:

Experience with pricing, price elasticity, recommendation systems, demand forecasting, optimisation, or the retail sector.

Obowiązki

Develop AI and ML products throughout their full lifecycle—from experimentation and prototyping to production deployment.
Design end-to-end Machine Learning systems focused on scalability, reliability, performance, and maintainability.
Build and automate data, training, testing, and deployment pipelines using MLOps and DevOps practices.
Implement model monitoring, versioning, retraining, and performance-control mechanisms.
Solve complex prediction, optimisation, recommendation, and decision-support problems.
Provide technical direction and coordinate work across Machine Learning, Data Engineering, and DevOps.
Define priorities, promote engineering standards, and support effective project delivery.
Translate business challenges into practical, production-ready ML solutions.
Improve infrastructure efficiency and optimise the cost of cloud-based workloads.
Collaborate with Product Owners and business stakeholders from problem definition through implementation.

Benefity

Long-term cooperation based on a B2B contract.
Remote working model with optional access to offices in major Polish cities.
Necessary equipment and tools.
Access to additional benefits, including private healthcare, a sports package, and group insurance.
The opportunity to develop technology used on a large scale.
A high level of ownership and genuine influence over technical decisions.
Cooperation with experienced specialists from different disciplines.
A supportive environment that encourages learning, experimentation, and knowledge sharing.

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Team Up Recruitment

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