intive
Senior Machine Learning Engineer
intivePoland1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.

At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

We’re looking for Senior Machine Learning Engineers with strong ML and software engineering skills, and hands-on experience building and deploying ML systems in production environments. The position is ideally based in Wrocław, but remote work from anywhere in Poland is also fine.

You’re a Good Match If You Have

  • Proven experience working across the entire ML lifecycle: data pipelines, model training, and serving
  • Strong programming skills in Python or Golang
  • Hands-on experience with ML infrastructure components such as feature stores, model registries and vector databases (e.g. Weaviate, Pinecone)
  • Experience with Model inference in real-time and batch settings
  • Knowledge of Cloud platforms (especially AWS)
  • Experience with Infrastructure as code tools like Terraform
  • Knowledge of ML platforms like SageMaker, Orchestration frameworks (e.g. Airflow) and Big data systems (e.g. Databricks)
  • Familiarity with LLMs, embedding-based retrieval, and recommendation systems is a plus
  • Comfortable collaborating with cross-functional teams to ship ML-powered product features

What You Will Be Doing

  • Designing, developing, and maintaining end-to-end machine learning solutions — from data ingestion and feature engineering to training, evaluation, and production deployment.
  • Building scalable ML infrastructure and data pipelines to support real-time and batch inference at scale.
  • Collaborating with product managers, data scientists, and software engineers to integrate ML models into customer-facing applications.
  • Applying best practices in MLOps to ensure reliability, reproducibility, and monitoring of ML systems in production.
  • Leveraging cloud platforms (primarily AWS) and IaC tools (e.g. Terraform) to deploy and manage ML infrastructure.
  • Working with modern ML tooling such as feature stores, model registries, orchestration frameworks (e.g. Airflow), and vector databases.
  • Exploring and applying advanced techniques including LLMs, embeddings, and recommendation systems to solve real-world business problems.
  • Mentoring team members and contributing to the improvement of engineering and ML practices across the organization.

Why Intive

We cultivate an environment where innovative ideas and excellence have room to thrive - even with a remote workforce. Our culture of learning rewards curiosity and gives our team members opportunities to learn, grow, and own the evolution of their career.

  • Remote Work, Flexibility & Balance – Hybrid work. You are welcome but not required at our offices. We have flexible benefits (pyszne.pl vouchers, mobile phone, data subscription by modem or cash benefit). You choose your contract type (UoP or B2B).
  • Performance management – regular partnership meetings between each employee and his manager. You can create a career path based on your goals. We provide training, mentoring, and support to help you along the way.
  • Training & Mentorship – Learning and Development is a big part of our company culture. You will have access to a training budget, language classes, internal courses, and training.
  • Chapters – you will join a community of intivers sharing the same professional profile. There is space for knowledge sharing with people with similar capabilities to yours and to access the latest technology trends.
  • Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart. We make sure everyone is noticed and feels connected to our mission and each other. We arrange bonding events for our employees and their children. We care, so we have strong CSR.
  • Benefits offer – available for you and your family members: Medicover + More Smile Package, Multisport, Group Insurance, Sport Subsidy.

Key Skills

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