JD LLM DevOps Engineer PAPI KV 1

At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story.

This position reports to

Digital Solution Engineering Manager

Your role and responsibilities

In this role, you will have the opportunity develop and enhance complete and sizable software mod-ules in the assigned software engineering function in one or more of platform and application man-agement. Each day, you will execute assigned design and development activities focused on building solutions in an efficient and cost-effective manner and in accordance with quality standards. You will also showcase your expertise by providing curate project schedule estimates and ensures their success-ful completion within the deadline. The work model for the role is: #LI- Onsite This role is contributing to Process Automation business for Process Automation Digital division based in Bangalore, India You will be mainly accountable for: • Design, implement, and manage CI/CD pipelines for deploying large language models (LLMs). • Automate the deployment and scaling of AI models on cloud platforms. • Monitor and maintain the health and performance of AI infrastructure. • Collaborate with data scientists and machine learning engineers to streamline model integration and deployment. • Implement security best practices for AI model deployment and data handling. • Optimize cloud resource usage to ensure cost-effective operations. • Troubleshoot and resolve issues related to AI model deployment and infrastructure. • Stay updated with the latest DevOps tools and practices.

Qualifications for the role

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of proven experience in DevOps engineering, with a focus on AI and machine learning models.
• Strong proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with cloud platforms (e.g., Azure, AWS, Google Cloud).
• Solid understanding of CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment.
• Primary Skills: Python with Machine Learning, Optimization techniques, NLP, Deep Learning techniques
• Secondary Skills: SQL, MongoDB, Flask development
• Additional: Azure deployment, Kubernetes, ML with Spark Compute
• Preferred Qualifications:
• Experience with large language models (LLMs) and natural language processing (NLP).
• Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, Ansible).
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana).
• Experience with version control systems (e.g., Git).

More about us

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area (>$6B revenue in 2021, 22,000 employees), automates, electrifies and digitalizes some of the most complex industrial infrastructures on this planet. Through its five divisions, it serves customers in the energy, process and hybrid industries – from hydrocarbons, chemicals, water, mining, minerals, pulp & paper to marine and ports, and many more. PA stands at the heart of some of the most important shifts in society, helping the energy-intense industries to safer, smarter and more sustainable operations to enable a prosperous, low-carbon society. We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory