Job Vacancy Hyderabad, Telangana Position Applied AI/ML Associate – MLOps at JPMorganChase
JPMorganChase is inviting applications for the role of Applied AI/ML Associate - MLOps in Hyderabad. We are actively seeking qualified candidates for this Full-time opportunity.
We are looking for individuals with strong skills and at least beginners/seniors experience. Besides technical competence, we value qualities such as integrity, discipline, and responsibility in our potential team members.
JPMorganChase operates within the (according to the company) sector. If you're interested in joining our esteemed organization, we encourage you to apply promptly.
Job Information
Company: | JPMorganChase |
Position: | Applied AI/ML Associate - MLOps |
City: | Hyderabad, Telangana |
Province: | Telangana |
Education: | Confidential |
Salary: | INR 30.000 - INR 60.000 per Month |
Job Type: | Full-time |
Job Description
We are seeking an Applied AI/ML Associate to join our team and support our MLOps initiatives. In this role, you will collaborate with data scientists and engineers to deploy, monitor, and maintain machine learning models in production environments.
The ideal candidate will have experience in machine learning frameworks and cloud platforms, along with strong problem-solving skills and a passion for AI technology.
Benefit
- Recognition and performance awards
- Skill development
- Work-life balance
- Professional networking opportunities
- Access to the latest technology
- Collaborative work environment
- Professional training
- Opportunities for promotion
- Valuable work experience
- Opportunities to contribute to business growth
Requirements
- Able to Work Under Pressure
- Physically and Mentally Healthy
- Minimum Education of High School Diploma
- Good Communication Skills
- Able to Work in a Team
- Experience in the Related Field (Preferred)
- Minimum Age of 18 Years
- Willing to Be Placed in the Designated Work Location
- No Criminal Record
Company Address
Province | Telangana |
City | Hyderabad |
Google Map | Google Map |
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