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Hitachi Digital Services

AWS AI ML Engineers

Posted 12 Hours Ago
Be an Early Applicant
3 Locations
Entry level
3 Locations
Entry level
As an AWS AI ML Engineer, you will be responsible for deploying, integrating, and monitoring ML models using AWS tools. You will automate CI/CD pipelines, manage AWS infrastructure for model hosting, maintain data pipelines, implement monitoring solutions, ensure security compliance, and collaborate with data scientists.
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Our Company 

We’re Hitachi Digital Services, a global digital solutions and transformation business. Our expertise, innovation and technology unlock potential – from taking theme park fans on magical rides, conserving natural resources, protecting rainforests, and saving lives. We automate, modernize, optimize, and accelerate. Our people are trusted transformers, with deep engineering expertise, focused on a sustainable future for all.

Imagine the sheer breadth of talent it takes to inspire the future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things are equally important to us.

 

The team

We’re a leader in cutting-edge innovation, the transformative power of cloud technology, and converged and hyperconverged solutions. Our mission is to empower clients to securely store, manage, and modernize their digital core, unlocking valuable insights and driving data-driven value.

This strong, diverse, and collaborative group of technology professionals collaborate with teams to support our customers as they store, enrich, activate, and monetise their data, bringing value to every line of their business.

 

 The role:  AWS AI ML Engineers
AWS AI/ML Ops Engineer Responsibilities:


Deployment and Operations:
Responsible for the continuous deployment, integration, and monitoring of ML models.

Use AWS DevOps and MLOps tools to manage workflows and maintain uptime.
Automation and CI/CD:

Implement CI/CD pipelines for model deployment and integration with data pipelines.
Automate testing, validation, and retraining of models to support scalability.
Infrastructure Management:

Manage underlying AWS infrastructure (EC2, S3, Lambda, etc.) required for model hosting.
Optimize resource allocation to minimize costs while meeting performance needs.
Data Pipeline Maintenance:
Support and maintain data ingestion, transformation, and feature engineering pipelines.

Ensure seamless integration with production workflows and data updates.
Monitoring and Logging:

Implement monitoring solutions to track model performance and health.
Maintain logs, set up alerts, and work on troubleshooting any issues.
Security and Compliance (Operational Focus): 

Implement and enforce security policies for data and model access.
Ensure compliance from an operational standpoint (e.g., permissions, audit logs).
Collaboration and Support:

Work closely with data scientists to facilitate model handovers.
Provide support in resolving issues with model deployment and performance.
Continuous Improvement:

Identify opportunities for process improvements and automation.
Experiment with new MLOps tools and methods to enhance pipeline efficiency.

What you’ll bring 

Proven expertise in your area by which you can contribute to the growth of the practice—subject matter expert who can increase competency in said technology and mentor other team members.

Be at the forefront of the exciting journey Hitachi Digital Solutions has undertaken and contribute immensely through your consulting skills for internal and external customers.

 

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.


Top Skills

AWS

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