AI Engineer

Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!

We are seeking an experienced AI Engineer to architect, build, and deploy AI-enabled solutions that form the foundation of our intelligent data monitoring strategy.

You will focus on:

• Productionizing anomaly detection and predictive scoring models
• Designing and operating robust MLOps and LLMOps pipelines
• Ensuring scalable, secure, and compliant AI systems for continuous data surveillance

You will collaborate closely with Data Engineering and IT teams to ensure reliable, enterprise-scale AI operations.

Core Responsibilities:

MLOps & LLMOps Architecture

• Design, implement, and maintain end-to-end MLOps/LLMOps pipelines
• Enable CI/CD, automated testing, deployment, and monitoring of AI models
• Standardize model lifecycle management and governance processes

Model Deployment & Scaling

• Engineer high-availability APIs and services for AI/ML model serving
• Deploy anomaly detection and predictive scoring models into production
• Ensure scalability and performance under high data ingestion loads

Advanced AI Integration

• Integrate modern AI tooling (e.g., orchestration frameworks, transformer-based libraries, model monitoring tools)
• Develop data quality agents and automated error classification systems
• Implement AI-powered data enrichment solutions

Cloud & Infrastructure Collaboration

• Partner with Data Engineering and IT teams to manage cloud-based infrastructure
• Support scalable model serving, monitoring, and automated retraining
• Contribute to infrastructure optimization and reliability

Performance & Drift Monitoring

• Implement model performance monitoring frameworks
• Detect data drift and model drift
• Automate retraining loops to maintain model accuracy

Security & Compliance

• Ensure AI systems comply with internal security standards
• Design solutions aligned with regulated industry requirements
• Support documentation and validation processes
  
  

Essential Skills & Experience:

Technical Expertise

• Proven experience as an AI Engineer, ML Engineer, or MLOps Engineer in production environments
• Strong expertise designing scalable ML/AI workflows (e.g., cloud ML platforms, workflow orchestration tools)
• Expert-level Python proficiency with production-grade coding practices
• Experience with: Containerization (e.g., Docker), Orchestration tools (e.g., Kubernetes)
• Hands-on experience deploying Transformer-based models or LLMs
• Experience with cloud platforms (preferably AWS or equivalent)
• Solid understanding of: Distributed systems, Data streaming concepts, System architecture and API design

Perks and benefits:

• Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
• Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
• Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
• Global collaboration - work with a diverse, international team.
• Innovative environment - be part of a forward-thinking and growth-oriented workplace.
• Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
• Team-building events including our company tradition (annual company event in Mazury).
•  A pleasant surprise to start your journey with us in the form of a welcome pack.

Recruitment process:

• HR call
• Technical Interview
• Interview with the dedicated Client
• Final decision/ Feedback

Sounds interesting? Click "Apply" and have a chance to hear more!