Machine Learning Engineer - Mettawa, United States - AbbVie

Description

Job Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Are you ready to shape the future of machine learning operations? Do you have a passion for building and optimizing machine learning pipelines at scale? Do you thrive in a fast-paced environment, where your skills can drive real-world business outcomes? If so, we have an exciting opportunity for you.

The "Winning with Data" (WWD) capability in AbbVie's International Commercial Business is driving the transformation of the organization into a data driven decision-making organization and is seeking an experienced and talented Machine Learning Operations Engineer to join our team.

In this role, you will be responsible for implementing scalable and efficient processes for deploying machine learning models into production environments and will play a pivotal role in shaping our machine learning deployment processes. The role bridges the gap between data science and IT operations, ensuring that machine learning models are seamlessly integrated into our production systems.

In this role you will be responsible for:

• Model Deployment: Participate efforts to deploy machine learning models into production environments, making them available for real-time inference and ensuring scalability and reliability.
• Collaboration: Collaborate with data scientists, software engineers, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and optimize CI/CD pipelines for machine learning models, automating testing and deployment processes.
• Monitoring and Logging: Set up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
• Version Control: Implement version control systems for machine learning models and associated code to track changes and facilitate collaboration.
• Research and Evaluate: Research and evaluate emerging technologies and tools to enhance machine learning operations and efficiency.
• Security and Compliance: Ensure that machine learning systems meet security and compliance standards, including data protection and privacy regulations.
• Documentation: Maintain clear and comprehensive documentation of ML Ops processes and configurations.
• Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

Tools and skills you will use in this role :

• Palantir Foundry
• Python, SQL
• Machine Learning Packages
• Data Modeling
• Git, Jira, Confluence
• AWS

Experiences that make you a strong candidate for this role:

Required:

• Bachelor's Degree with 6 years' experience; Master's Degree with 5 years' experience; PhD with 0 years' experience.
• 3+ years of experience as a Machine Learning Ops Engineer or in a similar role
• Strong understanding of machine learning concepts, algorithms, and deployment strategies.
• Proficiency in programming languages such as Python, and experience with relevant libraries and tools ( e.g., TensorFlow, PyTorch, scikit-learn ).
• Experience with DevOps principals and version control (Git preferred)
• Solid background in software development, version control systems (e.g., Git), and CI/CD pipelines.
• Excellent problem-solving skills and a proactive approach to addressing technical challenges.
• Strong communication skills and the ability to collaborate effectively across different teams.
• Good communication and presentation skills, being able to explain complex problems and the solutions applied, and comfortable in presenting technical solutions to a nontechnical audience.

Beneficial:

• Certification in Machine Learning, Cloud platforms, or related areas
• Proficiency in containerization technologies (e.g., Docker, Kubernetes).
• Experience with Veeva CRM, Reltio, SAP and/or Palantir Foundry.
• Knowledge of pharmaceutical industry regulations, such as data privacy laws, is highly desirable.

If you believe you're a great fit for this job but don't have all of the experiences listed above, we encourage you to apply anyway

Why Business Technology Solutions
For anyone who wants to use technology and data to make a difference in people's lives, shape the digital transformation of a leading
biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we're ready for you.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. ​

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.