Job Description

The Position

The Data Science and Scientific Informatics Team at Research and Development Sciences IT, is seeking a Machine Learning Engineer. 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. 

What will you do?

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.

Qualifications, Skills & Experience Required

Knowledge of machine learning algorithms and data science techniquesProficiency 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 lifecycleExperience with Apache Airflow or similar orchestration toolsKnowledge 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 initiativesStrong organizational skills with the ability to manage multiple tasks and meet deadlines in a fast-paced environmentEffective verbal and written communication skills for conveying complex information to colleagues and stakeholdersUniversity degree in Computer Science, Data Science, Applied Mathematics, or a related Science and Engineering fields

Nice to have

Experience with Domino, DataikuDeploying LLMs and Foundation models.Building APIs (FastAPI, Flask)Grafana DashboardsBuilding Python packages, ArtifactoryExperience with R, Julia

What we offer

Exciting work in a great team, global projects, international environment Opportunity to learn and grow professionally within the company globally Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) Pension and health insurance contributions Internal reward system plus referral programme 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes Up-to-date laptop and iPhone Parking in the garage, showers, refreshments, massage chairs, library, music corner Competitive salary, incentive pay, and many more 

Ready to take up the challenge? Apply now! 
Know anybody who might be interested? Refer this job!

Current Employees apply HERE

Current Contingent Workers apply HERE

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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Applied Engineering, Business Decisions, Computer Science, Data Engineering, Data Preprocessing, Data Science, Design Applications, GitHub, Git Version Control System, Information Security, Machine Learning, 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 Communication

Preferred Skills:

Job Posting End Date:

06/16/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R349315