Bloomreach is seeking a Senior AI/ML Engineer to join their Artificial Intelligence team and help revolutionize marketing with ML-powered solutions. You will build and maintain ML-powered features in production, working on cutting-edge AI technologies like Loomi AI to drive personalization for over 1,400 global brands.
What You'll Do
- Design and deliver new ML-powered features by translating business requirements into technical specifications and design documents
- Collaborate with data scientists to ensure technical feasibility and scalability of new ML features
- Define and develop back-office API endpoints for feature configuration
- Develop high-performance serving endpoints
- Develop and implement ML models, algorithms, and data pipelines to support new features
- Deploy and monitor new features in production with seamless integration into existing systems
- Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing
- Implement monitoring systems and dashboards to track ML model performance in production
- Identify potential issues and optimize for accuracy and efficiency
- Contribute to developing and implementing DevOps and MLOps best practices within the team
- Maintain end-to-end features including back-office APIs, models, definitions, and high-performance serving APIs
- Provide ongoing support and maintenance for existing ML-powered features
- Troubleshoot issues, fix bugs, and implement enhancements
- Support client-facing colleagues in investigation of possible issues (L3 support)
- Document code, design decisions, and operational procedures for maintenance and knowledge sharing
What We're Looking For
- Proven experience in Python engineering with a strong focus on designing and maintaining AI/ML-powered features in production environments
- Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment
- Solid understanding of software architecture principles, particularly in building and maintaining scalable and reliable APIs and microservices
- Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment
- Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.)
Nice to Have
- Experience in domains such as Predictions, Contextual bandits, Autosegmentation, MLOps
- Experience working with large amounts of data
- Experience with platforms and algorithms for model training, data processing, and ML pipelines
Technical Stack
Python, Google Cloud Platform (GCP), GKE, BigQuery, BigTable, GCS, Dataproc, VertexAI, MongoDB, Redis, Spark, TensorFlow, Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty
Team & Environment
Engineering Team with collaboration across Data Science engineers, Engineering and Product leaders
Benefits & Compensation
- Freedom and trust with no clocking in/out or corporate rules
- Flexible working hours to accommodate individual working styles
- Virtual-first work model with Bloomreach Hubs across three continents
- Company events to experience global spirit and future vision
- 5 paid days off annually for volunteering (subject to employment type)
- Access to People Development Program with personal development workshops
- Internal expert-led competency maps for select functions
- Communication coach Ivo Večeřa available for work-related challenges (subject to employment type)
- Managers encouraged to participate in Leader Development Program with feedback, coaching, and check-ins
- $1,500 annual professional education budget for books, courses, certifications (subject to employment type)
- Employee Assistance Program with counselors for non-work-related challenges (subject to employment type)
- Subscription to Calm sleep and meditation app (subject to employment type)
- Quarterly ‘DisConnect’ days for global team to unplug and spend time with loved ones
- Sports, yoga, and meditation opportunities facilitated internally
- Extended parental leave up to 26 calendar weeks for Primary Caregivers (subject to employment type)
- Restricted Stock Units or Stock Options granted based on role, seniority, and location (subject to employment type)
- Company performance bonus for all employees
- Employee referral bonus up to $3,000 paid immediately after new hire starts
- Work anniversary celebrations (Bloomversaries)
Compensation includes Restricted Stock Units or Stock Options (depending on role, seniority, and location), a company performance bonus, and an employee referral bonus up to $3,000.
Work Mode
Hybrid role with flexible working hours, virtual-first with option to work from home or Central European offices in Bratislava, Brno, and Prague.
We are an equal opportunity employer and value diversity at our company.
