Team Lead Machine Learning Jobs at IKONIC in Islamabad, Islamabad Capital Territory
IKONIC is currently seeking applicants for the position of Team Lead Machine Learning 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.
IKONIC, operating in the (according to the company) industry, invites interested candidates to apply for this position and join our team.
Job Information
Company: | IKONIC |
Position: | Team Lead Machine Learning |
Region: | Islamabad - Islamabad Capital Territory, Islamabad Capital Territory |
Salary: | PKR 40.000 - PKR 160.000 per Month |
Job Type: | Full-time |
Industry: | IT Services and IT Consulting |
Job Description
We are seeking an experienced Team Lead for our Machine Learning division. The ideal candidate will have a strong background in machine learning algorithms and frameworks, as well as experience leading a team of data scientists and engineers.
Your role will involve designing and implementing innovative machine learning solutions, guiding the team in project development, and collaborating with cross-functional departments to optimize workflows.
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
Application 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 | Islamabad Capital Territory |
City | Islamabad |
Full Address | House No. 1, Street 1, Sector F-6/2 |
Google Map | Google Map |
Job Application Information
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