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AI / ML Engineer

Zifo RnD Solutions

Zifo RnD Solutions

Software Engineering, Data Science
Raleigh, NC, USA
Posted on Thursday, January 18, 2024

Raleigh-Durham, NC; Boston, MA; Remote

We are looking for motivated & self-driven AI & ML engineer to join our expanding Data Science Services (DSS) team in North America. The DSS group is part of Zifo’s Innovation and Emerging Services organization. Zifo serves the pharma & health industry to accelerate the discovery, development, and manufacturing of new drugs, therapies, and vaccines - to save lives faster!

This is an exciting opportunity to join our new and expanding DSS team to support pharmaceutical and biotech companies developing innovative scientific R&D technologies globally. As part of the DSS team, you will unlock actionable insights in life science data – develop & deploy the data mining & AI/ML solutions. You will work with global teams comprised of researchers, scientists, consultants, and architects to drive Digital Transformation & AI/ML initiatives for Life sciences clients. You will be expected to continuously learn & be the AI/ML expert to support broader enterprise vision and growth strategies.



  • Coordinate with external clients & technology partners on planning & execution,
  • Architect AI/ML solutions, develop state-of-the-art models,
  • Deploy and Scale distributed systems in cloud environments,
  • Represent Zifo in research conferences and industry events,
  • Publish whitepapers, online articles, and/or peer-reviewed publications,
  • Support the leadership in developing & growing the Zifo US Data Science services business.

Required Skills

  • Strong quantitative, mathematical and/or statistical skills,
  • Strong programming skills in Python, Spark, Go and/or R,
  • Expertise in ML libraries such as TensorFlow, PyTorch & OpenCV
  • Understanding of Generative AI Algorithms, and Retrieval Augmentation
  • Understanding of MLOps, DevOps and CI/CD pipelines for deploying ML models
  • Understanding of data and ML model version control systems

Good To Have

  • Background in health sciences or experience working with health data or RWD,
  • Background in life sciences or experience working with omics data for AI/ML
  • Experience with Data & ML lifecycle management, MDLC & MLOps,
  • Experience with cloud computing services such as the Azure & AWS,
  • Experience with frameworks such as Apache Spark, Kubernetes & Docker.


  • Bachelor’s or Master’s in data sciences / Statistics / Computer Science or related field

A Successful “Zifo-ite” Is

  • Independent, self-motivated & results driven,
  • Quickly & continually acquires new skills & business principles,
  • Critical thinker who possesses logical reasoning, and
  • Curious and always looking for creative solutions to complex problems.


About Zifo:

CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 7 of the Top 10 Biopharma companies.

We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.

We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.

If you share these sentiments and are prepared for the atypical, then Zifo is your calling!

Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.