Lead ML Ops engineer

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose™ – to advance the health of animals, people, the planet and our enterprise.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role: Lead ML Ops engineer

We are looking for a Lead MLOps Engineer to design, build, and scale our Machine Learning (ML) infrastructure and operations. As a key leader in the team, you will be responsible for establishing best practices, ensuring seamless deployment of ML models to production, and enabling data scientists to deliver value efficiently. You will collaborate closely with data scientists, ML engineers, software engineers, and product stakeholders to drive production-grade AI/ML solutions.

Your Responsibilities:

  Leadership & Strategy

• Define and implement the overall MLOps strategy and roadmap.
• Mentor and guide junior engineers and data scientists on MLOps practices.
• Establish governance, monitoring, and CI/CD standards for ML lifecycle management.

Architecture & Development

• Design scalable ML infrastructure for training, deployment, and monitoring of models.
• Build and optimize pipelines for data preprocessing, model training, validation, deployment, and retraining.
• Ensure reproducibility, automation, and robustness across ML workflows.

Operational Excellence

• Implement monitoring, logging, and alerting for ML models in production.
• Establish model governance, version control, and experiment tracking.
• Ensure compliance with security, privacy, and regulatory standards.
• Support model development, with an emphasis on auditability, versioning, and data security.

Collaboration

• Work with Data Science teams to transition research models into production.
• Partner with DevOps and Cloud teams to integrate ML systems with enterprise infrastructure.
• Collaborate with Product Managers to ensure MLOps aligns with business goals.

What You Need to Succeed (minimum qualifications):

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• 9+ years of experience in Data/ML engineering, with at least 2+ years in a lead/architect role.

What will give you a competitive edge (preferred qualifications):

• Experience with Azure DevOps, Jenkins, or GitHub Actions for automation.
• Exposure to Hadoop file formats and compression techniques.
• Familiarity with Azure Event Hub or streaming pipelines.
• Prior experience with cloud migration methodologies.
• Experience with ML model monitoring tools and frameworks.
• Good communication and documentation skills to work in cross-functional teams.
• Azure certifications (e.g., AZ-104, DP-203, or DP-100)

Additional Information:

• Travel: 0%
• Location: India, Bangalore

Don’t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status