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PharmaForceIQML Engineer
Job Title: Machine Learning Engineer Location: Remote, Croatia Company: PharmaForceIQ Inc. Job Type: Full-time, Exempt About Us: We are a team of marketing strategists, digital innovators,…
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About this role
ML Engineer at PharmaForceIQ is a full-time role. Work arrangement: Remote. Location: Not specified. No salary is shown in this listing. It was posted on Oct 26, 2026. This listing is paused and not taking applications at the moment.
Original Employer Job Description
Job Title: Machine Learning Engineer
Location: Remote, Croatia
Company: PharmaForceIQ Inc.
Job Type: Full-time, Exempt
About Us:
We are a team of marketing strategists, digital innovators, life science leaders, and other professionals who are driving growth, pushing the envelope, and going above and beyond on behalf of our clients every day.
PharmaForceIQ is a real-time customer engagement platform built specifically for life sciences. We empower leaders across functions and brands with a faster, more effective way to engage healthcare professionals and patients. By streamlining real-time optichannel execution, leveraging AI, and focusing on measurable impact, we are driving a paradigm shift from sluggish, siloed customer engagement efforts to agile, data-driven strategies that deliver unmatched efficiency and tangible results.
The Role
You Will Be Responsible For
- Creating and utilizing generative AI or ML models that could have a positive impact on the business.
- Driving all data modelling activities ranging from conceptualization, visualization to operationalization.
- Performing statistical analysis on historical data to validate models.
- Working across stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions.
- Developing scripts to process structured and unstructured data.
- Recommending, developing and implementing ways to improve data reliability, efficiency and quality.
- Supporting translation of data business needs into technical system requirements.
- Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility.
Ideal Profile
- You possess an advanced degree, in Mathematics, Statistics, Computer Science or related field.
- You have at least 3 years experience, ideally within a Data Engineer or Data Scientist role.
- Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
- You have working knowledge of Python programming, Artificial Intelligence, GEN AI, Pyspark, Databricks and Cloud Computing
- You possess strong analytical skills and are comfortable dealing with numerical data
- You pay strong attention to detail and deliver work that is of a high standard
- You enjoy finding creative solutions to problems
What's on Offer?
- Work alongside & learn from best in class talent
- Excellent career development opportunities
- Great work environment
Originally posted on Himalayas
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