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ML Engineer

Role overview

Qualifications

  • Advanced degree in Mathematics, Statistics, Computer Science or related field
  • At least 3 years experience in a Data Engineer or Data Scientist role
  • Experience working with large and complex data sets
  • Proficiency in Python, AI, GEN AI, Pyspark, Databricks, and Cloud Computing

Responsibilities

  • Create and utilize generative AI or ML models for business impact
  • Drive all data modelling activities from conceptualization to operationalization
  • Perform statistical analysis on historical data to validate models
  • Develop scripts to process structured and unstructured data

Key facts

Other skills

  • Analytical Skills
  • Detail Oriented
  • Problem Solving

About the company

PharmaForceIQ logo

PharmaForceIQ

IT Services & IT Consulting

PharmaForceIQ is an AI-powered hyper-targeted omnichannel solution for Pharmaceutical and Biotech companies. Our solution integrates all marketing and sales channels within the life sciences ecosystem to deliver the Right Message to the Right Physician through the Right Channels at the Right Time. At PharmaForceIQ, our team of experts is dedicated to continuously revolutionizing marketing and clinical trial recruitment for pharmaceutical and biotech companies. 📩 Please reach out to us at info@pharmaforceiq.com to find out more about PharmaForceIQ or visit our website pharmaforceiq.com

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size51 - 200

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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

Compensation: 5,000 Euros per month

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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