ML Ops Engineer
India
Orion Innovation
Orion delivers digital transformative business solutions rooted in digital strategy, experience design, and engineering, enabling our clients with digital transformation to operate with agility at scale.Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
ML Ops Engineer
- Programming in any of the following: Python, R, Java, JavaScript, GO or similar
- Working experience of Architecture implementation on end-to-end operations of Machine learning projects from scratch
- MLOps experience including Linux and Windows command line control, scripting, source code control (such as GitHub), containers (including Docker, Kubernetes) and orchestration tools
- Experience in different tools such as serverless functions, devops tools to build training and inference pipelines, Monitoring or similar
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- Data Storage Technologies: SQL, NoSQL, Hadoop, cloud-based databases such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.);
- Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow;
- Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib; Cloud certifications are a plus
- Demonstrated ability to create end-to-end technology prototypes and/or machine learning models for a given business use case or application.
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- Demonstrated experience with rapid prototyping, using agile approaches to quickly test new ideas and “fail fast”.
- Demonstrated ability to apply a business framing to emerging technology solutions and communicate to business audiences in written and verbal formats.
- Things, Virtual Reality, Augmented Reality, and Robotics.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture BigQuery Blockchain Dataflow DevOps Docker E-commerce Engineering GCP GitHub Hadoop Industrial Java JavaScript Keras Kubernetes Linux Machine Learning ML models MLOps NoSQL NumPy Pandas Parquet Pipelines Privacy Prototyping Python PyTorch R Robotics Scikit-learn Spark SQL TensorFlow VR
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