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Data Engineers with extensive AI experience needed in north suburbs of Chicago!
This Jobot Job is hosted by: Christine McNamara
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $110,000 - $150,000 per year
A bit about us:
We are seeking a passionate and experienced MLOps Engineer to join our dynamic team in Chicago. This exciting role will involve working on the cutting edge of machine learning operations, helping to develop, deploy, and maintain AI models that will revolutionize healthcare. The successful candidate will have the opportunity to work with a team of talented engineers and data scientists, using the latest technologies to make a real difference in the healthcare sector.
Must be local to the area and/or open to relocating.
Why join us?
Job Details
Responsibilities:
As an MLOps Engineer, your responsibilities will include but are not limited to:
1. Developing, deploying, and maintaining AI models in a production environment, ensuring their reliability and robustness.
2. Collaborating with data scientists and engineers to integrate machine learning algorithms into our existing systems.
3. Designing and implementing machine learning pipelines and workflows.
4. Monitoring and troubleshooting machine learning models in production.
5. Ensuring compliance with data privacy and security regulations.
6. Keeping up-to-date with the latest industry trends and technologies, and implementing them when appropriate.
7. Conducting performance testing and tuning to optimize machine learning models.
8. Collaborating with cross-functional teams to understand their machine learning needs and providing them with appropriate solutions.
Qualifications:
The successful candidate should have:
1. A Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree would be a plus.
2. A minimum of 5 years of experience in MLOps, Data Engineering, or a related role.
3. Strong experience with cloud platforms such as Azure Machine Learning, AWS, and Google Cloud Platform.
4. Proficiency in programming languages such as Python and SQL.
5. Experience with Big Data technologies such as Spark.
6. Experience with Natural Language Processing (NLP) and GenAI.
7. Strong understanding of machine learning algorithms and principles.
8. Excellent problem-solving skills and the ability to troubleshoot complex issues.
9. Strong communication skills and the ability to work effectively in a team.
10. Experience in the healthcare industry would be a plus.
This is a fantastic opportunity for an experienced MLOps Engineer to make a real impact in the healthcare industry. If you have a passion for machine learning and want to use your skills to improve healthcare outcomes, we would love to hear from you.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
This Jobot Job is hosted by: Christine McNamara
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $110,000 - $150,000 per year
A bit about us:
We are seeking a passionate and experienced MLOps Engineer to join our dynamic team in Chicago. This exciting role will involve working on the cutting edge of machine learning operations, helping to develop, deploy, and maintain AI models that will revolutionize healthcare. The successful candidate will have the opportunity to work with a team of talented engineers and data scientists, using the latest technologies to make a real difference in the healthcare sector.
Must be local to the area and/or open to relocating.
Why join us?
- Medical, Dental, Vision insurance
- 401k with company match
- Generous PTO & sick leave
- Flexible work schedule
- Annual bonuses
- Hybrid work schedule (2-3 days work from home flexibility)
Job Details
Responsibilities:
As an MLOps Engineer, your responsibilities will include but are not limited to:
1. Developing, deploying, and maintaining AI models in a production environment, ensuring their reliability and robustness.
2. Collaborating with data scientists and engineers to integrate machine learning algorithms into our existing systems.
3. Designing and implementing machine learning pipelines and workflows.
4. Monitoring and troubleshooting machine learning models in production.
5. Ensuring compliance with data privacy and security regulations.
6. Keeping up-to-date with the latest industry trends and technologies, and implementing them when appropriate.
7. Conducting performance testing and tuning to optimize machine learning models.
8. Collaborating with cross-functional teams to understand their machine learning needs and providing them with appropriate solutions.
Qualifications:
The successful candidate should have:
1. A Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree would be a plus.
2. A minimum of 5 years of experience in MLOps, Data Engineering, or a related role.
3. Strong experience with cloud platforms such as Azure Machine Learning, AWS, and Google Cloud Platform.
4. Proficiency in programming languages such as Python and SQL.
5. Experience with Big Data technologies such as Spark.
6. Experience with Natural Language Processing (NLP) and GenAI.
7. Strong understanding of machine learning algorithms and principles.
8. Excellent problem-solving skills and the ability to troubleshoot complex issues.
9. Strong communication skills and the ability to work effectively in a team.
10. Experience in the healthcare industry would be a plus.
This is a fantastic opportunity for an experienced MLOps Engineer to make a real impact in the healthcare industry. If you have a passion for machine learning and want to use your skills to improve healthcare outcomes, we would love to hear from you.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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