Senior Machine Learning Engineer (Databricks)

About the Role

The Senior Machine Learning Engineer (Databricks) will design, develop, and deploy machine learning models and algorithms to solve complex business challenges with Databricks. The role works closely with data scientists, data engineers, business stakeholders, and clients to build scalable, efficient machine learning solutions.

Key Responsibilities

• Design and implement machine learning models and algorithms with Databricks, including predictive analytics, natural language processing, computer vision, and more.
• Lead the end-to-end development process, from data collection and preprocessing to model deployment and monitoring.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize and fine-tune models for performance, accuracy, and scalability in a production environment.
• Stay up to date with advancements in machine learning and AI and apply them to improve existing systems.
• Mentor and guide junior engineers and data scientists in machine learning and data engineering best practices.
• Contribute to machine learning infrastructure, including data pipelines, model-serving frameworks, and monitoring tools.
• Collaborate with client stakeholders to develop solutions for business problems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field; a PhD is a plus.
• 5+ years of experience in machine learning engineering or related fields.
• 3+ years of experience with Databricks.
• Proficiency in Python, R, or Java, with a strong understanding of machine learning libraries and frameworks, such as TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and monitoring.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to work effectively across teams and influence stakeholders.

The Offer

Cooperation Models

• Poland: available via Employment Contract (UoP) or B2B.
• Romania and Greece: available via B2B only.
• 100% remote: flexibility to work from anywhere in Poland, Romania, or Greece.
• Apple MacBook Air M4 15-inch provided to all engineers.
• Referral bonus for bringing top-tier engineers to the team.

Professional Growth

• Coverage for all Databricks technical certifications.
• Support in reaching advanced Databricks expertise tiers, such as the Champion program, tailored to the selected career track.
• Opportunities to present at global industry conferences and contribute to technical thought leadership.
• Direct collaboration with Databricks MVPs and core product teams.

Recruitment Process

• Introductory Call (20 min): conversation with the recruiter about background and expectations.
• Technical Interview (60 min): technical skills discussion with the engineering team.
• Optional Client Interview: required only in specific cases.
• Decision & Offer: efficient process closure and feedback.