Job Description

Our IT team operates as a business partner proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver the services and solutions that help everyone to be more productive and enable innovation.

Our team in Research and Development Sciences IT (RaDS -IT) comprises a diverse group of experts, including data scientists, bioinformaticians, and engineers, who share a common objective: to empower and expedite the advancement of biopharmaceutical sciences. We work collaboratively with both laboratory and in-silico scientists, proposing and implementing creative solutions that facilitate the development of new organizational capabilities.

We are seeking a highly motivated and experienced ML-Ops Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and iteratively developing our machine learning operations infrastructure, in partnership with engineering and cloud support teams. The candidate will collaborate closely with data scientists, software engineers, data engineers, and other stakeholders to automate end-to-end workflows and ensure the successful deployment of machine learning models into production.

The role provides ample opportunity to collaborate across machine learning disciplines including image data analytics, bioinformatics, natural language processing, decision science, chemistry, and biologics, as well as to coauthor presentations, manuscripts, and public code releases. Engaging in project/product planning and end-to-end development is also highly encouraged.

Key responsibilities:

Engineer, build, and maintain models developed by data scientists to improve efficiency, reliability and scalability.
Develop, implement, and help adoption of engineering best practices for model development
Collaborate with data scientists and software engineers to ensure successful integration of machine learning models into production systems.
Track and manage models throughout their development and lifecycle via model governance practices, including enabling data and model versioning.
Develop and maintain monitoring, alerting, and automated retraining systems for machine learning models in production (i.e. model drift, data drift).
Identify and address issues related to scalability, performance, and reliability of machine learning models.
Continuously research and evaluate new technologies and tools to improve machine learning operations processes.
Create and maintain documentation for machine learning operations processes, systems, and best practices.
Partner with ML-Ops technology and infrastructure teams to evolve infrastructure capabilities and to help adoption of standard infrastructure.

Education:

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a related STEM field.

Requirements:

5+ years of experience in engineering, deploying, and maintaining machine learning models.
Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
Strong knowledge of software engineering best practices.
Experience tuning models for efficient execution and reliability.
Experience monitoring and providing support for models.
Experience developing, implementing and helping adoption of model life cycle management standards.
Experience with containerization technologies such as Docker and Kubernetes.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with monitoring and alerting systems such as Prometheus or Grafana.
Excellent communication, project planning, and teamwork skills.

Preferred Qualifications:

Experience with the latest ML-Ops tools such as MLflow, Kubeflow, TensorFlow Extended.
Experience with machine learning platforms such as Databricks, Dataiku, AWS Sagemaker.
Experience with DevOps practices such as continuous integration and delivery (CI/CD), and DevOps tools like Jenkins.
Experience with data/workflow engineering tools (e.g., Airflow, Luigi) and/or infrastructure-as-code (e.g., AWS Cloud Formation Templates).
Familiarity with software development methodologies such as Agile and Scrum.
Experience with big data technologies such as Hadoop, Spark, or Cassandra.
Familiarity with software development life cycle processes.
Experience with cost saving considerations for execution of models.
Research experience in chemistry, biology, and other scientific areas.
Experience with making impact to organizational decisions on ML-Ops tools and architectures.
Experience with leading and mentoring junior AI/ML engineers to contribute as a team.

Our Support Functions deliver services and make recommendations about ways to enhance our workplace and the culture of our organization. Our Support Functions include HR, Finance, Information Technology, Legal, Procurement, Administration, Facilities and Security.

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

For more information about personal rights under Equal Employment Opportunity, visit:

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We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

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Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid, On-Site, Remote Work

Shift:

1st - Day

Valid Driving License:

Yes

Hazardous Material(s):

N/A

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationships

Preferred Skills:

Actuarial Science, Actuarial Science, Bioinformatics, Biological Sciences, Biology, Biomedical Engineering, Biomedical Research, Biomedical Sciences, Biomedical Technologies, Chemistry, Communication, Computer Science, DevOps, Documentations, Ecology, Environmental Science, Google Cloud Platform, Information Technology Strategies, Kubeflow, Kubernetes, Patient Monitoring, Physical Sciences, Project Planning, Projects Design, Scientific Research {+ 1 more}

1000 Merck Sharp & Dohme LLC

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