ML Ops Support Engineer

Hitachi Consulting ( formerly Information Management Group); Pennsylvania; On-site; USD 80,000 - 110,000; Full time

Job summary

An innovative firm is seeking a dedicated MLOps Support Engineer to join their dynamic team. This role involves providing 24/7 production support for machine learning workflows, ensuring high availability and reliability. You will work closely with cutting-edge technologies such as Dataiku, AWS, and CI/CD pipelines, tackling challenges in ML model deployment and data pipeline management. If you are passionate about leveraging technology to drive impactful solutions and thrive in a collaborative environment, this opportunity is perfect for you. Join a team that values diversity, creativity, and the pursuit of excellence.

Benefits

Flexible work arrangements

Health and wellness benefits

Professional development opportunities

Diversity and inclusion initiatives

Qualifications

• 5+ years of experience in MLOps or Data Engineering.
• Strong experience with Dataiku workflows and AWS services.
• Proficiency in Python and Bash for automation.

Responsibilities

• Provide L2 support for MLOps production environments.
• Monitor and troubleshoot ML pipelines and data processing jobs.
• Collaborate with Data Scientists to debug ML model deployments.

Skills

MLOps

Data Engineering

Python

AWS

CI/CD

Monitoring

Incident Response

Education

Bachelor's Degree in Computer Science or related field

Tools

Dataiku

Docker

Kubernetes

Prometheus

Grafana

AWS SageMaker

GitHub Actions

Job description

Join to apply for the ML Ops Support Engineer role at Hitachi Consulting (formerly Information Management Group).

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Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

The team

MLOps L2 Support Engineer to provide 24/7 production support for machine learning (ML) and data pipelines. The role requires on-call support, including weekends, to ensure high availability and reliability of ML workflows. The candidate will work with Dataiku, AWS, CI/CD pipelines, and containerized deployments to maintain and troubleshoot ML models in production.

The role

Key Responsibilities

• Provide L2 support for MLOps production environments, ensuring uptime and reliability.
• Troubleshoot ML pipelines, data processing jobs, and API issues.
• Monitor logs, alerts, and performance metrics using Dataiku, Prometheus, Grafana, or AWS tools such as CloudWatch.
• Perform root cause analysis (RCA) and resolve incidents within SLAs.
• Escalate unresolved issues to L3 engineering teams when needed.

Dataiku Platform Management

• Manage Dataiku DSS workflows, troubleshoot job failures, and optimize performance.
• Monitor and support Dataiku plugins, APIs, and automation scenarios.
• Collaborate with Data Scientists and Data Engineers to debug ML model deployments.
• Perform version control and CI/CD integration for Dataiku projects.

Deployment & Automation

• Support CI/CD pipelines for ML model deployment (Bamboo, Bitbucket, etc.).
• Deploy ML models and data pipelines using Docker, Kubernetes, or Dataiku Flow.
• Automate monitoring and alerting for ML model drift, data quality, and performance.

Cloud & Infrastructure Support

• Monitor AWS-based ML workloads (SageMaker, Lambda, ECS, S3, RDS).
• Manage storage and compute resources for ML workflows.
• Support database connections, data ingestion, and ETL pipelines (SQL, Spark, Kafka).

Security & Compliance

• Ensure secure access control for ML models and data pipelines.
• Support audit, compliance, and governance for Dataiku and MLOps workflows.
• Respond to security incidents related to ML models and data access.

What You’ll Bring

• Experience: 5+ years in MLOps, Data Engineering, or Production Support.
• Dataiku DSS: Strong experience in Dataiku workflows, scenarios, plugins, and APIs.
• Cloud Platforms: Hands-on experience with AWS ML services (SageMaker, Lambda, S3, RDS, ECS, IAM).
• CI/CD & Automation: Familiarity with GitHub Actions, Jenkins, or Terraform.
• Scripting & Debugging: Proficiency in Python, Bash, SQL for automation & debugging.
• Monitoring & Logging: Experience with Prometheus, Grafana, CloudWatch, or ELK Stack.
• Incident Response: Ability to handle on-call support, weekend shifts, and SLA-based issue resolution.

Preferred Qualifications

• Containerization: Experience with Docker, Kubernetes, or OpenShift.
• ML Model Deployment: Familiarity with TensorFlow Serving, MLflow, or Dataiku Model API.
• Data Engineering: Experience with Spark, Databricks, Kafka, or Snowflake.
• ITIL/DevOps Certifications: ITIL Foundation, AWS ML certifications; Dataiku certification.

Work Schedule & On-Call Requirements

• Rotational on-call support (including weekends and nights).
• Shift-based monitoring for ML workflows and Dataiku jobs.
• Flexible work schedule to handle production incidents and critical ML model failures.

About Us

We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Championing diversity, equity, and inclusion

Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How We Look After You

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting