Machine Learning Operations Engineer job opportunity at Otis Worldwide Corporation.

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Otis Worldwide Corporation Machine Learning Operations Engineer
Experience: 7-years
Pattern: full-time
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degreeBachelor's (B.A.)
loacation Unit 2A & 2B (Octave Block), 6th floor, Parcel - 4, Salarpuria Sattva - Knowledge City, Madhapur, Hyderabad, Telangana, India, Zip/Postal Code: 500081, India
loacation Unit 2A & 2B (..........India

Date Posted: 2025-11-18 Country: India Location: Unit 2A & 2B (Octave Block), 6th floor, Parcel - 4, Salarpuria Sattva - Knowledge City, Madhapur, Hyderabad, Telangana, India, Zip/Postal Code: 500081 Job Title Machine Learning Operations Engineer Role Overview: We are seeking an experienced DevOps/Machine learning Operations Engineer to join our team. In this role, you will take primary responsibility for deploying and maintaining production-grade code, optimizing workflows, and fostering innovation throughout our software development lifecycle. This position involves close collaboration with various stakeholders and provides the opportunity to make a meaningful impact in a fast-paced and dynamic environment. On a typical day you will: Strategic Planning : Maintain a focus on broader objectives, ask insightful questions, and balance strategic vision with effective planning and execution. Integration Insight : Develop a comprehensive understanding of software products from end to end. Avoid working in silos and approach problem-solving with enthusiasm and initiative. Innovative Development : Build rapid proofs of concept and demonstrations in collaboration with data scientists, engineers, and business stakeholders. Code Mastery : Deploy and maintain high-quality production code with minimal guidance. Refactor code for improved efficiency and ensure comprehensive documentation is provided for all processes. Platform Proficiency : Utilize your deep knowledge of version control tools like Azure DevOps, MLFlow, and the Azure cloud platform, including Databricks—to enhance the management of code and machine learning model lifecycles. Rapid Task Execution : Complete tasks with quick turnaround times and proactively follow up to ensure project continuity. Collaborative Learning : Engage closely with stakeholders, apply your machine learning expertise to feature engineering, and demonstrate a willingness to quickly learn and adopt new technologies. What you will need to be successful: Bachelor / Master  degree in computer science, Engineering, or a related field. At least 7 years of programming experience in Python. Expertise with Azure DevOps, ML Flow, the Azure cloud platform, and Databricks . Proven track record in deploying and maintaining production-grade code. Excellent communication and collaboration skills. Ability to work independently with minimal supervision. Strong problem-solving abilities and a demonstrated eagerness to learn If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day.  Otis is the world’s leading elevator and escalator manufacturing, installation, and service company. We move 2.4 billion people every day and maintain approximately 2.4 million customer units worldwide, the industry's largest Service portfolio.   You may recognize our products in some of the world’s most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 72,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company.   When you join Otis, you become part of an innovative global industry leader with a resilient business model. You’ll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you’ll gain working alongside the best and brightest, keep us connected and on the cutting edge.   We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs.    Today, our focus more than ever is on people. As a global, people-powered company, we put people – passengers, customers, and colleagues – at the center of everything we do.  We are guided by our values that we call our Three Absolutes – prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here .   Become a part of the Otis team and help us #Buildwhatsnext!  Otis is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com. Privacy Policy and Terms: Click on this link to read the Policy and Terms

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