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AI Production Support Engineer

  • Belgrade
  • Bengaluru
  • Cluj-Napoca
  • Krakow
  • Larnaca
  • Lodz
  • Lublin
  • Remote.Bulgaria
  • Remote.Georgia
  • Remote.Poland
  • Riga
  • Sofia
  • Tbilisi
  • Varna
  • Warsaw
  • Wroclaw
  • Yerevan
Small team (1-10 people)

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Position overview

We are looking for an AI Production Support Engineer to support and operate AI/ML solutions within a regulated banking environment. The role focuses on ensuring high availability, resilience, compliance, and risk management of AI systems that support critical banking services.

Technology stack

Cloud & AI Platforms (AWS): AWS SageMaker, EC2, EKS (Elastic Kubernetes Service), Lambda, S3, CloudWatch
MLOps & Model Management: SageMaker Pipelines, MLflow, model registry and deployment frameworks
Containerisation & Orchestration: Docker, Kubernetes (EKS)
Monitoring & Observability: AWS CloudWatch, CloudTrail, Prometheus, Grafana, OpenTelemetry
CI/CD & DevOps: AWS CodePipeline, CodeBuild, CodeDeploy, Jenkins, GitHub Actions
Data & Integration: AWS Glue, Kinesis, EventBridge, REST APIs, SQL/NoSQL (RDS, DynamoDB)
Security & Identity: IAM, AWS KMS, Secrets Manager, VPC security (subnets, NACLs, security groups)
Resilience & Backup: AWS Backup, cross-region replication, DR strategies (multi-AZ / multi-region)

Responsibilities

  • Provide L2/L3 production support for AI/ML models and data pipelines used in banking systems
  • Monitor model performance, drift, data quality, and operational health of AI services
  • Ensure stability and uptime of AI platforms supporting customer-facing and regulatory workloads
  • Perform incident management, root cause analysis (RCA), and problem management in line with ITIL practices
  • Collaborate with Data Science, Engineering, Risk, and Compliance teams
  • Support secure deployment, release, and rollback of models in production
  • Implement monitoring, alerting, and audit logging to meet regulatory and audit requirements
  • Ensure adherence to data privacy, governance, and financial regulatory standards (e.g., GDPR, model risk frameworks)
  • Support disaster recovery (DR) and business continuity (BCP) plans for AI workloads
  • Identify opportunities for automation, operational efficiency, and cost optimization

Requirements

  • Experience in production support / SRE / platform engineering, preferably in banking or financial services
  • Strong understanding of AI/ML lifecycle and model operations (MLOps)
  • Experience with cloud platforms (Azure preferred in banking), including secure workloads
  • Proficiency in Python and scripting for debugging and automation
  • Hands-on experience with Docker, Kubernetes, and microservices architectures
  • Familiarity with MLOps tools (MLflow, Azure ML, SageMaker, etc.)
  • Experience with monitoring & observability tools (CloudWatch, Splunk, Grafana, Prometheus)
  • Knowledge of data pipelines, APIs, batch and real-time processing systems
  • Experience with incident management tools (e.g., ServiceNow)
  • Understanding of model risk management (MRM) and audit expectations
  • Awareness of data governance, lineage, and controls
  • Familiarity with security standards and identity access management (IAM)

Nice to have

  • Exposure to AI governance frameworks and explainability tools
  • Experience with fraud detection, credit risk, or financial analytics models
  • Knowledge of secure DevOps (DevSecOps) practices
  • Relevant certifications (AWS, MLOps)

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Vacation

As per the laws of your country. We do ask you to take a proper rest

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract

FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

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DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

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At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

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There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

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DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

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At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

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DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

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