More about us
Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!
About the Client
Project is based within our client who is a leader in the pharmaceutical and healthcare industry, driving digital innovation to transform global R&D capabilities.
What you will do
• Design, build, and optimize ML and data pipelines for LLM-driven applications.
• Collaborate with cross-functional teams to deploy scalable, production-ready ML models.
• Implement fine-tuning techniques for large language models.
• Automate workflows and streamline processes with CI/CD tools and scripting.
• Leverage cloud platforms and MLOps tools like AWS SageMaker, Kubeflow, or Vertex AI.
What we are looking for
• 5+ years of experience in Data Science, including 2+ years in ML Engineering, Data Engineering, or MLOps.
• Strong programming skills in Python (R is a plus).
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of LLMs, fine-tuning methods, and agentic/automation-oriented design.
• Experience with cloud platforms (AWS, Azure, GCP) and DevOps best practices.
Perks and benefits
• Comprehensive benefits – enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
• Flexibility – adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
• Career growth – access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
• Global collaboration – work with a diverse, international team.
• Innovative environment – be part of a forward-thinking and growth-oriented workplace.
• Engaging community – work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
• Team-building events including our company tradition (annual company event in Mazury).
• A pleasant surprise to start your journey with us in the form of a welcome pack.
Recruitment process:
• HR call
• Technical Interview
• Interview with the dedicated Client
• Final decision/Feedback
Sounds interesting? Click "Apply" and have a chance to hear more! 📞
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