Senior Specialist, ML Ops Engineering
Senior Specialist, ML Ops Engineering
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$ 126500 - 199100
1 Vacancy
Job Description
Job Description
Machine Learning Engineer (MLOps) Technical Lead Data Science and Scientific Informatics
TheData Science and Scientific Informatics Teamat Research and Development Sciences IT (RaDS-IT) of our company is seeking a Lead Machine Learning Engineer for MLOps. The successful candidate will engage in exploration design and implementation of features to support new MLOps use cases for a growing and diverse range of models and platforms. This role will involve the deployment and operationalization of machine learning models across multiple domains ensuring that our analytics capabilities are robust and scalable.
Responsibilities:
Serve as MLOps representative to stakeholders and lead discussions with them.
Participate in MLOps technical strategy discussions and lead implementation.
Execute on MLOps strategy and architectural decisions.
Make key technical decisions independently.
Lead other technical team members and oversee development work.
Collaborate with data scientists software engineers and product teams to design implement and maintain production-level machine learning pipelines and workflows.
Develop and automate processes for data preprocessing feature engineering model training and evaluation to enhance the reliability and scalability of machine learning applications.
Utilize MLOps principles to streamline the model deployment process ensuring models are easily retrainable and maintainable as new data becomes available.
Monitor and evaluate model performance in a production environment while ensuring compliance with industry standards and best practices.
Prepare and present findings and developments to internal stakeholders contributing to strategic decision-making and operational improvements in MLOps.
Stay current with industry trends and best practices in machine learning data engineering and MLOps and actively contribute to the innovation of methodologies within the team.
Required Experience and Skills:
Bachelors degree in computer science Data Science Applied Mathematics or a related Science and Engineering fields.
A minimum of three years experience in ML Ops
Previous MLOps experience from deploying models to model maintenance and management.
Knowledge of machine learning algorithms and data science techniques.
Proficiency in Python (including a familiarity with libraries and frameworks for machine learning (e.g. scikit-learn TensorFlow PyTorch).
Experience with MLOps tools and platforms (e.g. MLFlow Docker SageMaker or other cloud-based solutions).
Familiarity with version control systems (e.g. Git) GitHub actions and CI/CD processes to manage model lifecycle.
Experience with Apache Airflow or similar orchestration tools.
Knowledge of big data technologies and cloud computing environments (AWS Databricks EC2).
Excellent analytical and problem-solving capabilities with a keen interest in applying creative solutions to strategic initiatives.
Strong organizational skills with the ability to manage multiple tasks and meet deadlines in a fast-paced environment.
Effective verbal and written communication skills for conveying complex information to colleagues and stakeholders.
Preferred Experience and Skills (not all required):
A Masters degree is a plus.
Experience with Domino Dataiku
Deploying LLMs and Foundation models.
Building APIs (FastAPI Flask)
Grafana Dashboards
Building python packages Artifactory
Experience with R Julia
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.
As an Equal Employment Opportunity Employer we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race color age religion sex sexual orientation gender identity national origin protected veteran status disability status or other applicable legally protected a federal contractor we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws visit:
We are proud to be a company that embraces the value of bringing together talented and committed people with diverse experiences perspectives skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas broad experiences backgrounds and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively.
Learn more about your rights including under California Colorado and other US State Acts
U.S. Hybrid Work Model
Effective September 5 2023 employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week Monday - Thursday although the specific days may vary by site or organization with Friday designated as a remote-working day unless business critical tasks require an on-site Hybrid work model does not apply to and daily in-person attendance is required for field-based positions; facility-based manufacturing-based or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note this Hybrid work model guidance also does not apply to roles that have been designated as remote.
The salary range for this role is
$126500.00 - $199100.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including but not limited to relevant education qualifications certifications experience skills geographic location government requirements and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive if applicable.
We offer a comprehensive package of benefits. Available benefits include medical dental vision healthcare and other insurance benefits (for employee and family) retirement benefits including 401(k) paid holidays vacation and compassionate and sick days. More information about benefits is available at can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only:We will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance
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:
RegularRelocation:
No relocationVISA Sponsorship:
NoTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
1st - DayValid Driving License:
YesHazardous Material(s):
N/ARequired Skills:
Applied Engineering Business Decisions Computer Science Data Engineering Data Preprocessing Data Science Design Applications Git Version Control System Information Security Machine Learning Machine Learning Model Management Machine Learning Operations Mechatronics Scikit-Learn Social Collaboration Software Development Software Development Life Cycle (SDLC) Strategic Initiative System Designs Systems Integration Tensorflow Testing Version Control Written CommunicationPreferred Skills:
Job Posting End Date:
07/7/2025*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Required Experience:
Senior IC
Employment Type
Full-Time
