Senior Machine Learning Data Engineer

At AMD, the mission is to build products that accelerate next-generation computing experiences including AI and data centers. The company emphasizes innovation, collaboration, and a culture that pushes the limits of innovation to solve important challenges. The role is based in Gdansk, Poland, and is on-site/hybrid.

• 8+ years of experience in data engineering, ML data infrastructure, or large-scale data platform development.
• At least 3 years in a senior or lead engineering role.
• Strong expertise in building data pipelines and infrastructure supporting AI/ML workloads including feature engineering, batch and streaming processing, and training data management.
• Hands-on experience with modern ML and data platforms including cloud-native lake house architectures and ML tooling for experimentation, training, deployment, and monitoring.
• Solid understanding of MLOps and ML lifecycle management including data versioning, experiment tracking, model governance, and production monitoring.
• Proficiency in Python and SQL with ability to build performant, scalable, and reliable data pipelines for ML use cases.
• Experience with structured and unstructured datasets for advanced analytics, machine learning, and generative AI applications.
• Familiarity with data governance, security, and compliance principles applied to AI systems including data quality, lineage, access control, and privacy.
• Working knowledge of cloud and on-premises infrastructure and distributed systems including storage, compute, and cost-optimization strategies for ML-driven data platforms.
• Proven ability to collaborate with data scientists, ML engineers, and platform teams to translate AI/ML requirements into scalable, production-ready data solutions.
• Strong written and verbal communication skills in English.
• PhD or MSc degree in Computer Engineering, Software Engineering, or Computer Science.

Key responsibilities:

• Define, document, and govern end-to-end ML data architectures including feature stores, training data pipelines, data lakes, and supporting infrastructure.
• Ensure alignment of data architectures with ML roadmaps and business objectives.
• Translate ML research, product, and analytics requirements into actionable data architecture designs.
• Evaluate, select, and recommend modern ML data technologies and frameworks to optimize scalability, performance, and cost efficiency.
• Drive design and evolution of core ML data platform components focusing on data quality, reproducibility, lineage tracking, and operational reliability.
• Act as technical escalation point for complex ML data issues across ingestion, transformation, feature generation, versioning, and serving layers.
• Collaborate cross-functionally with ML engineers, data scientists, platforms, and product teams to ensure consistent data standards across model development and deployment workflows.

AMD and its subsidiaries are equal opportunity, inclusive employers and consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. Applications are encouraged from all qualified candidates and accommodations are provided under respective laws. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.