At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

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 are looking for a passionate technical leader with a proven track record delivering machine learning solutions at scale and well versed in the growing field of Machine Learning Operations (MLOps).

The ML Engineering Lead will play a primary role in shaping the MLOps roadmap and collaborating with domain data science teams to evolve ML models into supportable, operationalized solutions. The ideal candidate is highly motivated by the dynamics of a start-up environment, excelling at product evangelism and tactical fast-turn project delivery.

Responsibilities:

• Product Owner and Subject Matter Specialist for continuously evolving BMS’ MLOps platform capabilities and related services.
• Provide technical direction to BMS resources and consulting partners supporting MLOps platforms and services.
• Build relationships, advise and collaborate closely with business partners and data science teams across the BMS functional domains to operationalize ML assets.
• Develop tailored operationalization solutions/architectures as needed to address unique needs of functional areas.
• Assist data science teams to build custom model monitors in python, as needed, when existing out-of-the-box monitors are insufficient.
• Evangelize MLOps platform capabilities and ML engineering services through formal and informal presentations and training sessions.
• Develop and maintain the ML Engineering discipline at BMS through leading practices, thought leadership, and mentoring.
• Collaborate with IT peers across Enterprise Applications and Platforms to apply ML to our work in IT, developing proof of concepts / MVPs and operationalizing ML assets that demonstrate value.

Qualifications:

• B.S. in Computer Science or similar field (Engineering, Math, Physics)
• 8+ years of professional experience
• 5+ years of software development experience delivering cloud-based solutions, preferably using AWS Cloud technologies
• 5+ years of experience with Python
• Proven track record of deploying machine learning models into real-world cloud applications using MLOps leading practices, demonstrating some combination of the following skills:
  • MLOps Frameworks
  • Data Science Platforms
  • Machine Learning Frameworks and Techniques
  • Containerization / Docker
  • CI/CD processes with tools like GitHub
  • Distributed-only systems and RESTful architectures
  • Distributed Data and Computing

• Excellent software design and implementation skills
• Experience working in Agile software development environments
• Exceptional communications (written and oral), leadership, and influencing skills.
• Experience defining, driving, and executing low-level tasks to completion across multiple simultaneous activities
• Demonstrated understanding and working knowledge of AWS Cloud technologies with preference to the following AWS certifications: Solutions Architect, Developer, DevOps Engineer, Data Analytics and/or Machine Learning
• Experience with the most common ML/DL frameworks (Scikit-Learn, Pandas, Tensorflow, Transformers, PyTorch, Keras)
• Knowledge of the most important classical machine learning models (Classification, Regression, Clustering, Time-Series Analysis, Dimensionality Reduction etc.)
• Knowledge of deep learning models (Convolutional Neural Network, Recurrent Neural Network etc.) and other neural networks
• Familiarity with modern computer vision, computational linguistic and/or transformer-based natural language processing (NLP) frameworks

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture.

To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S.

Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief, during or any part of the recruitment process, please direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.