• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
United States Jobs Expertini

Principal AI/ML Engineer Job Opening In Chicago – Now Hiring Abbott


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life.

Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines.

Our 114,000 colleagues serve people in more than 160 countries.

**Working at Abbott**

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life.

You’ll also have access to:

+ Career development with an international company where you can grow the career you dream of.

+ Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

+ An excellent retirement savings plan with high employer contribution · Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

+ A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.

+ A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

For years, Abbott’s medical device businesses have offered technologies that are faster, more effective, and less invasive.

Whether it’s glucose monitoring system, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier.

Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.

What You’ll Do

The Principal ML Engineer will work from our Chicago, Willis Tower office within the Medical Devices Digital Solutions organization.

In this role, you will lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced algorithm research with scalable engineering solutions.

You will be vital in developing and maintaining a robust AI development framework, establishing production-grade MLOps capabilities, and collaborating closely with data scientists, infrastructure specialists, and algorithm teams to ensure effective AI solution deployments.

Main Responsibilities

+ Lead end-to-end ML solutions development and delivery, including data ingestion, feature engineering, training, validation, deployment, and monitoring.

+ Architect a highly available, secure, scalable cloud/on-prem hybrid ML infrastructure.

+ Engage directly with ML scientists, contribute to algorithm development, and act as the team’s bridge/glue between science and engineering.

+ Partner closely with algorithm scientists, translating innovative concepts into reliable, production-ready software.

+ Implement robust CI/CD workflows for ML models, including testing, rollout, rollback strategies, and compliance governance.

+ Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as a Medical Device (SaMD) guidelines.

+ Evaluate and pilot emerging technologies, including large language models, multimodal machine learning techniques, and advanced hardware accelerators.

+ Mentor and guide ML engineers and data scientists, establish coding standards, and conduct detailed design and architectural reviews.

Required Qualifications

+ Bachelors Degree (± 16 years) in Computer Science, Engineering Mathematics, or related field

+ Minimum 10 years with 10+ years of experience, Master’s Degree with 7+ years of related experience, or Ph.D. with 2+ years of related experience

+ Experience in building and deploying Machine Learning solutions using various ML algorithms and hands-on experience with Python programming

+ Experience in building IT use cases / solutions especially around AI/ML cognitive services and platforms, Model productionization, and CICD Automation.

+ Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning

+ Experience of senior executive/leadership engagement

+ Exposure to various aspects of architecture practices and frameworks: business, application, data, security, infrastructure and governance

+ Experience with NLP/NLG, AI Conversational Agents & Other Generative AI, and Software development lifecycles

+ Experience with Azure OpenAI, Azure Databricks, CloudDBs,

+ Experience in reviewing and selecting Technical and Applications Architectures solutions

+ Certifications and specializations in AI/ML, LLMs and Cloud platforms

+ Excellent oral, written and presentation communication skills

+ Preferred team leadership experience and demonstrated mentorship capabilities

Preferred Qualifications

+ PhD in Computer Science, Data Science, Data Engineering, or related field

+ Medical Device experience

+ Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred.

+ Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy.

+ Experience with microservices architecture and distributed systems.

+ Publications, patents, or notable contributions to open-source projects.

+ Experience with FDA 510(k) submissions and clinical-grade ML product development.

+ Background in signal processing, computer vision, or multimodal learning.

+ Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning.

The base pay for this position is $111,300.00 – $222,700.00.

In specific locations, the pay range may vary from the range posted.

An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call 224-667-4913 or email corpjat@abbott.com

Required Skill Profession

Other General


  • Job Details

Unlock Your Principal AI Potential: Insight & Career Growth Guide


Real-time Principal AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Principal AI in Chicago, United States, highlighting market share and opportunities for professionals in Principal AI roles.

39866 Jobs in United States
39866
684 Jobs in Chicago
684
Download Principal Ai Jobs Trends in Chicago and United States

Are You Looking for Principal AI/ML Engineer Job?

Great news! is currently hiring and seeking a Principal AI/ML Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Abbott adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Principal AI/ML Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Chicago. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Principal AI/ML Engineer?

Key qualifications for Principal AI/ML Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Principal AI/ML Engineer?

To improve your chances of getting hired for Principal AI/ML Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Principal AI/ML Engineer Job Success

Abbott interview tips for Principal AI/ML Engineer

Here are some tips to help you prepare for and ace your Principal AI/ML Engineer job interview:

Before the Interview:

Research: Learn about the Abbott's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal AI/ML Engineer interview at Abbott, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Abbott's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Principal AI/ML Engineer Positions

Setting up job alerts for Principal AI/ML Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!