MLOps Engineer IRC260052

Description

Global player in the railway sector is looking to create an internal platform aimed to support the Bid and Sales teams during critical stages of the bidding process, as well as to assist to Engineers throughout key phases of the Engineering projects lifecycle.

This solution utilizes various techniques, including multi-agent GenAI, to enhance the requirements and compliance process, facilitate data analysis and tender authoring, provide guidance in engineering, offer technical support, and aid in decision-making. It also generates essential artifacts such as requirements, designs, and tests. Additionally, the solution will enable data analytics to identify trends across bids, supporting the Sales and Product Development teams.

Requirements

We are seeking an experienced MLOps Engineer to join our team in supporting a multi-agent GenAI solution aimed at enhancing the bid and engineering process lifecycle. The ideal candidate will be responsible for overseeing the deployment, automation, monitoring, and optimization of machine learning models within our Azure-based cloud infrastructure, ensuring seamless integration and continuous delivery of AI capabilities.

Requirements:

• Minimum of 3-5 years of experience in MLOps, DevOps, or a related field with a focus on machine learning projects.
• Proven experience in deploying machine learning models at scale within a cloud environment, preferably Azure.
• Proficiency with Azure Machine Learning, Azure Kubernetes Service, and other Azure-based services.
• Experience with tools like Azure DevOps, Jenkins, or GitLab CI for building automation pipelines.
• Strong skills in Docker and Kubernetes for container orchestration.
• Proficient in Python and familiarity with ML libraries such as TensorFlow, PyTorch.
• Experience with Git for source control management.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in machine learning environments.
• Strong communication skills, capable of collaborating effectively with cross-functional teams.
• Detail-oriented with a commitment to delivering high-quality MLOps solutions.

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Job responsibilities

• Design and implement MLOps pipelines to automate the training, testing, and deployment of machine learning models.

• Develop and maintain CI/CD pipelines specifically for machine learning projects to ensure robust and scalable operations.

• Utilize Azure services to set up, manage, and scale machine learning infrastructure, including virtual environments and compute resources

• Collaborate with the DevOps team to integrate MLOps practices seamlessly into existing workflows.
• Deploy models into production environments ensuring high availability and performance.
• Implement monitoring solutions to track model performance, reliability, and accuracy over time, utilizing tools like Prometheus and Grafana.
• Automate data preprocessing and model retraining workflows to facilitate continuous learning and improvement.
• Conduct performance optimization on deployed models to enhance efficiency and reduce latency.
• Work closely with data scientists, machine learning engineers, and solution architects to align on best practices in model lifecycle management.
• Establish and document MLOps best practices and maintain comprehensive records of changes and configurations.
• Ensure that all MLOps practices comply with data security and privacy regulations.
• Implement security measures such as data encryption and secure access controls across machine learning workflows.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.