ML Engineer

Posted 18 Days Ago
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Hiring Remotely in Hrvatski Leskovac, Ulica Korana, Grad Zagreb, HRV
In-Office or Remote
Mid level
Artificial Intelligence • Healthtech • Marketing Tech • Pharmaceutical
The Role
Develop and operationalize machine learning and generative AI models, perform statistical analysis, process structured and unstructured data, and improve data reliability and scalability. The role partners with stakeholders to translate business needs into technical requirements and identify data-driven solutions. Responsibilities include data modeling, scripting, model validation, and implementing improvements to data quality and efficiency.
Summary Generated by Built In

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

Skills Required

  • Advanced degree in Mathematics, Statistics, Computer Science, or a related field
  • At least 3 years of experience, ideally in a Data Engineer or Data Scientist role
  • Experience working with large and complex datasets and analyzing high volumes of data
  • Working knowledge of Python programming
  • Working knowledge of Artificial Intelligence and Generative AI
  • Working knowledge of PySpark
  • Working knowledge of Databricks
  • Working knowledge of Cloud Computing
  • Strong analytical skills and comfort working with numerical data
  • Strong attention to detail and ability to deliver high-quality work
Am I A Good Fit?
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The Company
42 Employees

What We Do

PharmaForceIQ is an AI-driven real-time customer engagement platform built specifically for the life sciences and pharmaceutical industry. It unifies brand and field efforts by leveraging proprietary HCP affinity data and real-world signals to orchestrate hyper-targeted 'optichannel' marketing campaigns, enabling pharmaceutical companies to enhance HCP engagement, drive prescription lift, and optimize their marketing ROI.

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