Lead AI/ML Engineer designing, developing, and optimizing data and AI pipelines, ensuring performance, scalability, and reliability, and leading discovery phases to analyze existing AI solutions.
Requirements
- 6+ years of experience in Data Engineering
- Strong hands-on experience with PySpark and large-scale data processing.
- Proficiency in Python and distributed computing concepts.
- Experience designing and optimizing scalable data pipelines for high-volume data.
- Experience supporting AI/ML projects (e.g., enabling model training pipelines, feature engineering, real-time inference, or MLOps workflows).
- Ability to perform technical discovery and solution assessment, including explaining complex systems to non-technical stakeholders.
- Strong leadership, communication, and stakeholder management skills.
- Familiarity with CI/CD and infrastructure as code (e.g., Terraform, CloudFormation) is desirable.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Benefits
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits