AI Engineer

Thermo Fisher Scientific; Chicago (IL); On-site; USD 149,000 - 200,000; Full time

Job summary

A leading company is seeking an AI Engineer to innovate AI and ML methods for their Quality Management System. The role involves developing predictive models, collaborating with cross-functional teams, and ensuring regulatory alignment while leveraging advanced AI technologies. Ideal candidates will have a strong background in data science and experience with Generative AI. The position offers competitive compensation and a comprehensive benefits package.

Benefits

National medical and dental plans

Employee assistance programs

Paid time off (PTO)

401(k) retirement savings plan

Stock Purchase Plan

Qualifications

• 5+ years of experience in developing machine learning and AI models.
• Strong proficiency in Python or R for Generative AI applications.

Responsibilities

• Develop predictive models and anomaly detection systems.
• Collaborate with teams to integrate AI solutions into QMS.
• Automate routine quality management processes.

Skills

Problem-Solving

Communication

Collaboration

Education

Bachelor’s in Data Science

Tools

Python

R

TensorFlow

PyTorch

Hugging Face Transformers

scikit-learn

Keras

Job description

Join to apply for the AI Engineer role at Thermo Fisher Scientific

Join to apply for the AI Engineer role at Thermo Fisher Scientific

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Join us as an AI Engineer to implement innovative AI and ML methods for our GxP Quality Management System.

Key Responsibilities:

• Build AI Solutions: Develop predictive models, anomaly detection systems, and LLMs to optimize QMS performance.
• Improve GenAI and LLMs: Apply Generative AI techniques and LLMs to automate and improve tasks like quality events analysis, document reviews, and complaint management.
• Work with various teams like Quality, IT, and Technical Ops to integrate solutions into QMS.
• Collaborate with Data Scientists and Data Engineers to prepare and analyze large datasets, identifying trends and areas for process improvement.
• Automating Routine Tasks: Using AI technology to automate routine quality management processes, decreasing manual workload and growing operational efficiency.
• Ensure Regulatory Alignment: Ensure that AI models, particularly LLMs and GenAI solutions, align with industry regulations, quality standards, and ethical guidelines, particularly in GxP and FDA-regulated environments.
• Validate and supervise models like GenAI and LLMs
• Keep up with AI/ML Advancements: Stay updated on new AI/ML technologies and their applications for QMS innovation.
  
  

Required Skills and Qualifications:

• Education: Bachelor’s or equivalent experience in Data Science, Computer Science, or a related field.
• 5+ years of experience in developing machine learning and AI models, including techniques such as classification, regression, anomaly detection, reinforcement learning, and sophisticated Generative AI (e.g., text generation, summarization, LLMs).
• Programming Proficiency: Strong proficiency in Python or R, with hands-on experience in developing Generative AI applications and deploying Large Language Models (e.g., GPT-3/4, BERT, T5).
• AI/ML Frameworks and Libraries: Familiarity with leading AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn, and Keras.
• Experience with GenAI and LLMs: Strong understanding of Generative AI and Large Language Models for tasks such as document generation, summarization, classification, and process automation.
• Regulatory Knowledge: Experience working in regulated industries, such as life sciences or medical devices, is a plus. Knowledge of GxP and FDA regulations is helpful.
• Cloud Platforms: Strong understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions at scale.
• Problem-Solving and Communication: Demonstrating excellent problem-solving skills, effective communication abilities, and the capability to explain intricate AI concepts to non-technical collaborators.
• Partnership and Adaptability: Ability to work optimally in collaborative, multi-functional teams and adapt to evolving business requirements.
  
  

Desirable Skills:

• Experience with AI ethics and responsible deployment of Generative AI models, especially in regulated environments.
• Knowledge of NLP (Natural Language Processing) techniques for document classification, summarization, and automation.
• Familiarity with model interpretability and explainable AI methods.
• Experience with DevOps practices, including CI/CD pipelines for model deployment.
  
  

Apply today! http://jobs.thermofisher.com

Compensation And Benefits

The salary range estimated for this position based in Illinois is $149,500.00–$199,300.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
  
  

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science, Information Technology, and Product Management

• Industries

  Pharmaceutical Manufacturing and Biotechnology Research

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