EPAM Systems
Senior AI Engineer, Databricks, ML, Spark ML
- Compensation
- Not disclosed
- Location
- Turkiye
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 3+ years of experience in AI/ML engineering and solution delivery
- Expertise in AI Solution Engineering, including model design and deployment
- Proficiency in Databricks, Spark ML, and distributed data processing
- Background in developing predictive models and anomaly-detection algorithms
- Skills in building RAG pipelines, document extraction, and AI agents
- Understanding of GenAI concepts and industrial diagnostics use cases
- Capability to design end-to-end ML workflows from data ingestion to deployment
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Full description
We are seeking a Senior AI Engineer to build, test, and deploy ML and GenAI components for asset onboarding, industrial diagnostics, and device analytics on Databricks. The specialist will develop predictive models, anomaly-detection algorithms, RAG pipelines, document extraction, and AI agent capabilities.
Responsibilities
- Build, test, and deploy ML and GenAI components on Databricks
- Develop predictive models for asset onboarding and device analytics
- Design and implement anomaly-detection algorithms for industrial diagnostics
- Create RAG pipelines to support intelligent information retrieval
- Implement document extraction workflows for structured and unstructured data
- Develop AI agent capabilities to enable advanced automation scenarios
- Collaborate with cross-functional teams to translate business needs into AI solutions
- Optimize model performance, scalability, and reliability in production
- Monitor deployed models and iterate based on performance metrics and feedback
Requirements
- 3+ years of experience in AI/ML engineering and solution delivery
- Expertise in AI Solution Engineering, including model design and deployment
- Proficiency in Databricks, Spark ML, and distributed data processing
- Background in developing predictive models and anomaly-detection algorithms
- Skills in building RAG pipelines, document extraction, and AI agents
- Understanding of GenAI concepts and industrial diagnostics use cases
- Capability to design end-to-end ML workflows from data ingestion to deployment
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Benefits
CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
- Diversity of tasks and projects
- Assessment center for objective review of competency level
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses
- English courses taught by certified teachers
CORPORATE BENEFITS
- Extra leave days
- Referral bonuses
COMPENSATION PACKAGE
- Competitive compensation paid in USD
- Regular salary and performance reviews
MEDICAL & HEALTHCARE
- Private health insurance
- Well-being events
WORKING ENVIRONMENT
- Recreation areas and kitchens