Machine Learning Engineer - Buffalo, United States - Allergan

Description

People. Passion. Possibilities. Three words that make a world of difference.
More than a job. It's a chance to make a real difference.

Welcome to AbbVie As part of an international company with 50,000employees worldwide and around 3,000 employees in Germany, you will have the opportunity of addressing some of tomorrows unmet medical needs in close collaboration with your colleagues.

Are you passionate about improving global health care? Do you want to contribute to improving patients' quality of life through your expertise? In a challenging work environment that offers opportunities of developing and increasing your own skills? You've come to the right place

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.

Together, we break through – as a Machine Learning Engineer (all genders)

Make your mark:

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)

This is how you can make a difference:
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.

What we offer you:
with a diverse work environment where you can have a real impact
with an open corporate culture
with an attractive salary
with an intensive onboarding process with a mentor at your side
with flexible work models for a healthy work-life balance
with a corporate health management that offers comprehensive health and exercise programs
with company social benefits
with a wide range of career opportunities in an international organization
with top-tier, attractive development opportunities
with a strong international network

Multiple times, we have been globally recognized as a "Great Place to Work" and we are proud to provide our employees with the flexibility to maintain a healthy work-life balance.

We take our impact on the environment and our communities seriously and therefore focus on giving something back on a regular basis.

We are committed to equality, equity, diversity and inclusion (EED&I) – a commitment that is fundamental to us. This includes appreciating different perspectives, creating an inclusive culture and treating all employees with dignity and respect.
At AbbVie, your individual contributions count – help us move mountains together. Be a part of our success, grow with us and accomplish more than you could have imagined.

Sounds like the perfect career opportunity for you? We look forward to receiving your application All you need is a complete CV – we will discuss everything else with you in person.

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