MLOps Engineering Manager at Jobot
Northbrook, IL 60062
About the Job
Seasoned data analytics manager with extensive AI experience needed in north suburbs of Chicago! HYBRID!!
This Jobot Job is hosted by: Christine McNamara
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $120,000 - $180,000 per year
A bit about us:
We are seeking an experienced and dynamic MLOps Manager to join our team. This role will be responsible for managing and leading our team of engineers, ensuring the deployment, monitoring, and maintenance of our AI and machine learning models. If you are passionate about technology, have a knack for problem-solving and enjoy leading teams to success, we would love to hear from you.
Must be local to the area and/or open to relocating.
Why join us?
Job Details
Responsibilities:
1. Lead and manage a team of MLOps engineers, fostering a culture of continuous improvement and innovation.
2. Oversee the deployment, monitoring, and maintenance of AI and machine learning models.
3. Collaborate with cross-functional teams to define and implement best practices and standards related to MLOps.
4. Drive the development and implementation of AI chatbots.
5. Leverage NLP and GenAI to improve and optimize our machine learning models.
6. Use Python, SQL, and Spark to manipulate data and draw insights from large data sets.
7. Manage and optimize our cloud-native infrastructure using Docker and Kubernetes.
8. Ensure the security, scalability, and reliability of our systems.
9. Stay current with the latest technologies and trends in MLOps and healthcare technology.
Qualifications:
1. Bachelor's degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred.
2. Minimum of 5 years of experience in an MLOps role.
3. Proven experience leading and managing engineering teams.
4. Strong knowledge and experience with AI related technologies.
5. Experience with cloud-native technologies such as Docker and Kubernetes.
6. Experience developing and implementing AI chatbots.
7. Solid understanding of machine learning principles and techniques.
8. Excellent problem-solving skills and the ability to think critically and strategically.
9. Strong communication and leadership skills.
10. Experience in the healthcare industry is a plus.
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
This Jobot Job is hosted by: Christine McNamara
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $120,000 - $180,000 per year
A bit about us:
We are seeking an experienced and dynamic MLOps Manager to join our team. This role will be responsible for managing and leading our team of engineers, ensuring the deployment, monitoring, and maintenance of our AI and machine learning models. If you are passionate about technology, have a knack for problem-solving and enjoy leading teams to success, we would love to hear from you.
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:
1. Lead and manage a team of MLOps engineers, fostering a culture of continuous improvement and innovation.
2. Oversee the deployment, monitoring, and maintenance of AI and machine learning models.
3. Collaborate with cross-functional teams to define and implement best practices and standards related to MLOps.
4. Drive the development and implementation of AI chatbots.
5. Leverage NLP and GenAI to improve and optimize our machine learning models.
6. Use Python, SQL, and Spark to manipulate data and draw insights from large data sets.
7. Manage and optimize our cloud-native infrastructure using Docker and Kubernetes.
8. Ensure the security, scalability, and reliability of our systems.
9. Stay current with the latest technologies and trends in MLOps and healthcare technology.
Qualifications:
1. Bachelor's degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred.
2. Minimum of 5 years of experience in an MLOps role.
3. Proven experience leading and managing engineering teams.
4. Strong knowledge and experience with AI related technologies.
5. Experience with cloud-native technologies such as Docker and Kubernetes.
6. Experience developing and implementing AI chatbots.
7. Solid understanding of machine learning principles and techniques.
8. Excellent problem-solving skills and the ability to think critically and strategically.
9. Strong communication and leadership skills.
10. Experience in the healthcare industry is a plus.
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
Salary
120,000 - 180,000 /year