Machine Learning Engineer Jobs at eBrain in Islamabad, Federal Board
eBrain is currently seeking applicants for the position of Machine Learning Engineer in Islamabad. This role is Full-time.
We are specifically seeking individuals with strong skills and at least beginners/seniors experience. Besides technical expertise, we highly value integrity, discipline, and a strong sense of responsibility in our staff.
eBrain, operating in the (according to the company) industry, invites interested candidates to apply for this position and join our team.
Job Information
| Company: | eBrain |
| Position: | Machine Learning Engineer |
| Region: | Federal Board, Islamabad - Federal Board |
| Salary: | PKR 175.000 - per Month |
| Job Type: | Full-time |
Job Description
We are seeking a talented Machine Learning Engineer to join our innovative team. The ideal candidate should have a solid background in machine learning algorithms, data analysis, and programming skills in Python or similar languages.
You will be responsible for developing and implementing machine learning models to solve complex problems, optimizing algorithms, and collaborating with cross-functional teams to enhance product capabilities.
Benefit
- Access to the latest technology
- Recognition and performance awards
- Professional training
- Collaborative work environment
- Professional networking opportunities
- Skill development
- Work-life balance
- Valuable work experience
- Opportunities for promotion
- Opportunities to contribute to business growth
Application Requirements
- Good Communication Skills
- No Criminal Record
- Minimum Education of High School Diploma
- Minimum Age of 18 Years
- Able to Work Under Pressure
- Physically and Mentally Healthy
- Able to Work in a Team
- Willing to Be Placed in the Designated Work Location
- Experience in the Related Field (Preferred)
Company address
| Province | Federal Board |
| City | Islamabad |
| Full Address | Villa No. 1, Street 2, Diplomatic Enclave, Islamabad |
| Google Map | Google Map |
Job Application Information
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