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Lead Data & AI Engineer - Sabert
AI Engineer
Lead the design and delivery of scalable data pipelines and AI solutions, leveraging Python, Spark, and AWS to transform raw data into actionable insights for a global food packaging manufacturer.
About the role
Key Responsibilities
- Architect, build, and maintain end‑to‑end data pipelines on AWS using Python, Spark, and SQL.
- Design and deploy machine‑learning models that drive product innovation and operational efficiency.
- Lead a team of data engineers, providing technical guidance, code reviews, and mentorship.
- Implement containerized workloads with Docker and orchestrate them via Kubernetes for reliable, scalable production workloads.
- Collaborate with product, analytics, and business stakeholders to translate requirements into data solutions.
Requirements
- 5+ years of hands‑on experience in data engineering and AI/ML development.
- Strong proficiency in Python, SQL, and Apache Spark.
- Deep experience with AWS services (S3, Redshift, EMR, Lambda, etc.).
- Proven ability to design, containerize, and orchestrate applications using Docker and Kubernetes.
- Excellent problem‑solving skills and ability to lead technical teams in a fast‑paced environment.
Skills
pythonsqlapache sparkawsmachine learningdockerkubernetes