Machine learning operations (MLOps) engineer

Job title:

Machine learning operations (MLOps) engineer

Company

Johnson & Johnson

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.comJob Function: R&D Product DevelopmentJob Sub Function: R&D Process EngineeringJob Category: Scientific/TechnologyAll Job Posting Locations: Turnhout, Antwerp, BelgiumJob Description:About Innovative MedicineOur expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.Learn more at https://www.jnj.com/innovative-medicineWe are searching for the best talent for Machine learning operations (MLOps) engineer to be in Beerse.Purpose:At Janssen we strive to improve life and outcomes of millions of patients worldwide. Do you want to be a true pioneer and are you willing to join us in our journey towards the development of innovative therapeutics? If so, this MLOps engineer role could be a great opportunity to explore!About the DepartmentThe Global Pharmaceutical Product Development and Supply organization (PPDS) is within the Therapeutics development and supply (TDS) organization of Pharmaceutical Companies of Johnson and Johnson responsible for the development of Pharmaceutical Dosage forms with development centers located in the US, Asia, and Europe.For the location in Beerse, Antwerp, Belgium we have an open position for a MLOps engineer.Together with a complementary team of process engineers and formulation scientists, you will be responsible for strengthening our process and formulation capabilities for oral and parenteral solid and liquid dosage forms. The team is responsible for defining and developing predictive process models which enhance and fasten the scale up of the drug product process between different labs and production plants.By means of data sciences and process modelling toolsets, it is our aim to fully understand the process behavior in order to deliver the best product and process at launch in an accelerated way..You will be responsible for:

• Join forces with our team of process engineers and play a crucial role in shaping the future of drug formulation and process development. Your responsibilities will encompass a diverse range of activities:
• Design and develop robust data pipelines and databases to efficiently process and store large datasets, facilitating advanced analytics and machine learning operations
• Develop and automate ETL processes for data extraction, transformation and loading
• Collaborate with cross-functional teams to define data requirements and ensure the integration of data systems.
• Create user-friendly front-end applications for data visualizations and automatic reporting.
• Develop, implement and manage machine learning models to enhance process efficiency and quality
• Implement best practices for model versioning, monitoring and tracking to ensure compliance with regulatory standards
• Develop our process modelling toolbox of the future by leveraging your expertise in AI/ML and identify opportunities for the continued optimization of our predictive process models
• Share your expertise with your colleagues and communicate in a clear way with your stakeholders to share your results and innovative ideas

Qualifications / Requirements:

• PhD or Master in data sciences, computer sciences, engineering or related field with 4+ years’ experience.
• Proven experience in MLOps or similar roles within the pharmaceutical, biotechnology or healthcare sectors.
• Strong programming skills in languages such as Python, R or Matlab with a focus on data manipulation and ML frameworks (e.g. Tensorflow, PyTorch, Scikit-learn)
• Experience with cloud platforms (e.g. AWS, Azure) for model deployment
• Solid understanding of machine learning algorithms, model evaluation, preferably in the context of process development
• Excellent problem-solving skills, with the ability to work collaboratively in cross-functional teams and communicate complex concepts to non-technical stakeholders.
• The candidate is required to possess effective oral and written communication skills in English.

Expected salary

Location

Turnhout, Antwerpen

Job date

Fri, 21 Mar 2025 00:39:31 GMT

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