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AI Production Support Engineer

  • Bengaluru
Hot vacancySmall team (1-10 people)

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Position overview

We are looking for an AI Production Support Engineer to support and operate AI and ML solutions within a regulated banking environment. In this role, you will help ensure the availability, resilience, compliance, and risk management of AI systems that support critical banking services.

Technology stack

Familiarity with security standards and Identity and Access Management (IAM)
Cloud and AI Platforms: Amazon SageMaker, Amazon EC2, Amazon EKS, AWS Lambda, Amazon S3, Amazon CloudWatch
MLOps and Model Management: SageMaker Pipelines, MLflow, model registries, and deployment frameworks
Containerization and Orchestration: Docker, Kubernetes, Amazon EKS
Monitoring and Observability: Amazon CloudWatch, AWS CloudTrail, Prometheus, Grafana, OpenTelemetry
CI/CD and DevOps: AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, Jenkins, GitHub Actions
Data and Integration: AWS Glue, Amazon Kinesis, Amazon EventBridge, REST APIs, SQL, NoSQL, Amazon RDS, Amazon DynamoDB
Security and Identity: IAM, AWS Key Management Service (KMS), AWS Secrets Manager, VPC security, subnets, network ACLs, and security groups
Resilience and Backup: AWS Backup, cross region replication, disaster recovery strategies, multi Availability Zone and multi region architectures

Responsibilities

  • Provide L2 and L3 production support for AI and ML models and data pipelines used in banking systems
  • Monitor model performance, model drift, data quality, and the operational health of AI services
  • Ensure the stability and availability 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 the 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, including GDPR and model risk management frameworks
  • Support disaster recovery (DR) and business continuity planning (BCP) for AI workloads
  • Identify opportunities for automation, operational efficiency, and cost optimization

Requirements

  • Experience in production support, Site Reliability Engineering (SRE), or platform engineering, preferably within banking or financial services
  • Strong understanding of the AI and ML lifecycle and MLOps practices
  • Experience with AWS cloud services and secure cloud workloads
  • Proficiency in Python and scripting for troubleshooting, debugging, and automation
  • Hands on experience with Docker, Kubernetes, and microservices architectures
  • Familiarity with MLOps platforms and tools such as MLflow and Amazon SageMaker
  • Experience with monitoring and observability tools including Amazon CloudWatch, Splunk, Grafana, and Prometheus
  • Knowledge of data pipelines, APIs, and both batch and real time processing systems
  • Experience with incident management platforms such as ServiceNow
  • Understanding of Model Risk Management (MRM) and audit requirements
  • Knowledge of data governance, data lineage, and control frameworks

Nice to have

  • Exposure to AI governance frameworks and model explainability tools
  • Experience supporting fraud detection, credit risk, or financial analytics models
  • Knowledge of DevSecOps practices and secure software delivery
  • Relevant AWS, MLOps, or cloud related certifications

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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

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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.

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