Aartificial intelligence, Agile methodologies, AWS, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Effective communication skills, Keras software library, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Pandas, Python Programming, PyTorch, Scikit-learn, TensorFlow
Position Summary:
Machine Learning (ML) Engineering and Operations is a new team in the Enterprise Data Platforms area, focused on operationalizing machine learning models and enabling ML solutions at scale. We seek an experienced ML Engineer eager to grow their skills in the ML Operations (MLOps) discipline. The ML Engineer will be hands on contributing to our MLOps capabilities, maintaining platforms, evolving software development kits, and continuously improving user experience. This role will contribute to building the ML Engineering discipline at BMS and providing ML Engineering services to assist data science teams operationalize their machine learning models. The ML Engineer we seek is experienced with enabling machine learning models and systems at scale, familiar with AWS services, and well versed in the growing field of Machine Learning Operations (MLOps).
Responsibilities:
Qualifications:
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
The Bristol Myers Squibb Company is an American multinational pharmaceutical company. Headquartered in New York City, BMS is one of the world's largest pharmaceutical companies and consistently ranks on the Fortune 500 list of the largest U.S. corporations. For fiscal 2021, it had a total revenue of $46.4 billion.
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12-14 year
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10-12 year
Hyderabad, Telangana, India
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10-12 year
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6-8 year
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4-6 year
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6-8 year
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