ML Engineer (Pharmacovigilance Solutions)

Company Background

Our client is a global pharmacovigilance solutions company specializing in innovative software and expert consulting services. Experienced team of business and technology innovators work with Pharmacovigilance and Risk Management Professionals to help increase compliance, productivity and quality. They are a one-stop-shop for all PV needs applying most recent technology advances like machine learning, artificial intelligence and best practice methodological approaches.

Project Description

The Platform is an integrated solution that provides comprehensive end-to-end capabilities for pharmacovigilance, including case management, reporting, signaling, and risk management. This project focuses on enhancing the platform through the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies, specifically utilizing Generative AI to automate the parsing and processing of data. By improving the accuracy and efficiency of data handling in adverse event form extraction— the platform aims to streamline operations further while ensuring compliance with global regulatory standards.

Technologies

• Python
• AWS
• AWS Bedrock
• LLMs
• RAG
• NLP
• LlamaIndex
• DeepEval

What You'll Do

• Design, develop, and deploy AI services with a focus on Large Language Models (LLMs) and generative AI applications;
• Implement responsible AI practices to uphold standards and minimize bias in model outputs;
• Develop and maintain robust guardrails to ensure safe and reliable model deployment;
• Conduct model evaluations to assess performance and drive continuous optimization for enhanced outcomes;
• Collaborate with cross-functional teams to align AI solutions with business objectives and user needs;
• Stay updated with industry trends in machine learning and generative AI to apply best practices and cutting-edge techniques;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field;
• 3+ years of experience in machine learning engineering with a focus on NLP, LLMs;
• Proficiency in programming languages such as Python;
• Familiarity with AWS services, particularly AWS Bedrock;
• Strong understanding of Responsible AI principles and experience implementing guardrails in AI systems;
• Excellent analytical skills with a proven ability to solve complex problems using data-driven approaches;

What Do We Offer

The Global Benefits Package Includes

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.