Senior MLOps engineer
5 days ago
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:
Senior ML Ops engineer
The ML Ops Engineer will be responsible for designing, implementing, and maintaining machine learning infrastructure, pipelines, and workflows. This role will require a deep understanding of data management, software development, and cloud computing. The successful candidate will work closely with data scientists, software engineers, and other stakeholders to ensure that machine learning models are deployed, monitored, and updated efficiently and effectively.
The ML Ops engineer is expected to work with teams spread globally across different time zones.
Your Responsibilities:
- Deploy and maintain machine learning models, pipelines, and workflows in production environment.
- Re-package (deployment process) ML models that have been developed in the non-production ML environment by ML Teams for deployment to the production ML environment.
- Perform the required MLOps engineering development to refactor the non-production ML model implementation to an "ML as Code" implementation.
- Create, manage, and execute ServiceNow change requests in accordance with the Elanco IT Change Management process to manage the deployment of new models.
- Build and maintain machine learning infrastructure that is scalable, reliable, and efficient.
- Collaborate with data scientists and software engineers to design and implement machine learning workflows.
- Implement monitoring and logging tools to ensure that machine learning models are performing optimally.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Support model development, with an emphasis on auditability, versioning, and data security.
- Create and maintain technical documentation for machine learning infrastructure and workflows.
- Stay up to date with the latest developments in machine learning and cloud computing technologies.
- Provide expert data PaaS on Azure storage; big data platform services; server-less architectures; Azure SQL DB; NoSQL databases and secure, automated data pipelines.
- Work collaboratively and use sound judgment in developing robust solutions while seeking guidance on complex problems.
What You Need to Succeed (minimum qualifications):
- Bachelor's or master's degree in computer science, engineering or related field.
- 8+ years of experience in software development, machine learning engineering or related field.
What will give you a competitive edge (preferred qualifications):
- Hand-on experience in Python.
- Familiarity with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git.
- Experience in developing and deploying machine learning models in a production environment.
- Experience building custom integrations between cloud-based systems using APIs.
- Experience developing and maintaining ML systems built with open-source tools.
- At least 2 years of data pipeline and data product design, development, delivery experience and deploying ETL/ELT solutions on Azure Data Factory.
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
-
Mlops
2 weeks ago
Bengaluru, Karnataka, India Fractal Analytics Full timeIt's fun to work in a company where people truly BELIEVE in what they are doing! - We're committed to bringing passion and customer focus to the business._ Data Engineer Bangalore, Mumbai, Pune, Gurgaon, Chennai JOB DESCRIPTION: Building the machine learning production System(or MLOps) is the biggest challenge most large companies currently have in making...
-
Mlops
2 weeks ago
Bengaluru, Karnataka, India FINVASIA CAREER Full timeWe are seeking a skilled MLOps Engineer with 2-3 years of experience to join our team. In this role, you will collaborate with data scientists, software engineers, and IT teams to ensure smooth deployment, scaling, and monitoring of machine learning models. You will build, automate, and manage infrastructure and pipelines for AI/ML workflows. **Key...
-
MLOps Engineer
5 days ago
Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per yearThis role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...
-
MLOps Engineer
5 days ago
Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per yearThis role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...
-
MLOps Engineer
5 days ago
Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 18,00,000 per yearThis role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...
-
MLOps Engineer
1 week ago
Bengaluru, India XPT Software Full timeWe are on a mission to accelerate data intelligence and drive growth through advanced analytics and AI. As anMLOps Engineer, you'll play a pivotal role in designing and managing scalable MLOps frameworks, empowering data scientists, and ensuring the seamless deployment of machine learning models across global initiatives. Responsibilities Develop and manage...
-
MLOps Engineer
2 hours ago
Bengaluru, Karnataka, India XPT Software Full time ₹ 15,00,000 - ₹ 25,00,000 per yearWe are on a mission to accelerate data intelligence and drive growth through advanced analytics and AI. As anMLOps Engineer, you'll play a pivotal role in designing and managing scalable MLOps frameworks, empowering data scientists, and ensuring the seamless deployment of machine learning models across global initiatives.ResponsibilitiesDevelop and manage a...
-
MLops engineer
13 minutes ago
Bengaluru, Karnataka, India Capgemini Engineering Full time ₹ 13,62,000 - ₹ 35,53,792 per yearPlease share below details and updated CV, interviews will be as per below slots.DateTimeOctober 3, 202510am-12pmInterview duration : 45 minutes. ONLY early Oct and Nov joiners will be preferred.Current CTC:Expected CTC:Notice period:Current and preferred location:Total and relevant exp:Current payroll company:Relevant exp in MLops only:Interview will be...
-
MLOps Engineer
3 weeks ago
Bengaluru, Karnataka, India Infometry Full timeLocation : RemoteRole : MLOps EngineerEXP : 7-10yrsJob Summary :We are seeking a highly skilled and motivated MLOps Engineer to join our team. The ideal candidate will be responsible for streamlining the deployment, scaling, and monitoring of machine learning models in production. You should have a strong background in Python, PySpark, cloud platforms (AWS &...
-
Senior MLOps Engineer
5 days ago
Bengaluru, Karnataka, India Wenger & Watson Full time ₹ 12,00,000 - ₹ 36,00,000 per yearRole & responsibilitiesAs MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers todeploy and operate advanced analytics machine learning models. Youll help automate andstreamline Model development and Model operations. Youll build and maintain tools fordeployment, monitoring, and operations. Youll also troubleshoot and resolve...