Lead Machine learning 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. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

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

As a Machine Learning (ML) Engineer at Elanco, you will be a key member of our engineering team, specializing in the end-to-end lifecycle of custom and third-party (including open source) machine learning models. You will translate complex business problems into scalable, production-ready AI solutions. This role is focused on the practical application of machine learning, requiring a strong blend of software engineering discipline and deep ML expertise to design, build, and deploy models that deliver real-world value.

Your Responsibilities:

• Custom Model Development: Design, build, and train bespoke ML models tailored to specific business needs, from initial prototype to full implementation.

• Third-Party Model Utilization: Identify, tune and deploy third-party ML models, covering proprietary and open-source models.

• Production Deployment: Manage the deployment of ML models into our production environments, ensuring they are scalable, reliable, and performant.

• MLOps and Automation: Build and maintain robust MLOps pipelines for Continuous Integration/Continuous Delivery (CI/CD), model monitoring, and automated retraining.

• Data Pipeline Construction: Collaborate with data engineers/stewards to build and optimize data pipelines that feed ML models, ensuring data quality and efficient processing for both training and inference.

• Cross-Functional Collaboration: Work closely with data scientists, product managers, and software engineers to define requirements, integrate models into applications, and deliver impactful features.

• Code and System Quality: Write clean, maintainable, and well-tested production-grade code. Uphold high software engineering standards across all projects.

• Performance Tuning: Monitor and analyze model performance in production, identifying opportunities for optimization and iteration.

What You Need to Succeed (minimum qualifications):

• Educational Background: A Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, or a related quantitative field.

• Programming Excellence: Advanced proficiency in Python and deep experience with core ML/data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, pandas, NumPy).

• Software Engineering Fundamentals: Strong foundation in software engineering principles, including data structures, algorithms, testing, and version control (Git).

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

• ML Model Deployment: Proven, hands-on experience deploying machine learning models into a production environment.

• MLOps Tooling: Experience with MLOps tools and frameworks and containerisation technologies (Docker, Kubernetes).

• DevSecOps: Proven experience with relevant DevSecOps concepts and tooling, including Continuous Integration/Continuous Delivery (CI/CD), Git SCM, Containerisation (Docker, Kubernetes), Infrastructure-as-Code (HashiCorp Terraform).

• Problem-Solving: A pragmatic and results-oriented approach to problem-solving, with the ability to translate ambiguous requirements into concrete technical solutions.

• Communication: Excellent communication skills, capable of articulating complex technical decisions and outcomes to both technical and non-technical stakeholders.

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