Team Lead- AI/ML
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Job Location:
Monthly Salary:
Posted on:
24-08-2025
Vacancies:
1 Vacancy
Job Summary
We are looking for a highly motivated and experienced AI/ML Team Lead to lead a team of machine learning engineers and data scientists. The ideal candidate will have hands-on experience in AI/ML development a strong technical background and leadership abilities to drive innovative AI solutions.
Core Responsibilities
Lead and mentor a team of AI/ML engineers ensuring best practices in model development and deployment.
Design develop and optimize machine learning models for real-world applications.
Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
Research and implement cutting-edge AI/ML techniques staying updated with industry trends.
Ensure model performance scalability and efficiency through continuous improvements.
Oversee MLOps workflows model versioning and automation of AI pipelines.
Troubleshoot and resolve technical challenges related to AI/ML models and deployment.
Qualification
Experience: 3 years in AI/ML development with experience in leading projects or teams.
Education: Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
Required Skills
Technical Skills:
Proficiency in Python and AI/ML frameworks such as TensorFlow PyTorch and Scikit-Learn.
Experience with NLP computer vision or deep learning.
Hands-on knowledge of cloud platforms (AWS GCP Azure) for AI model deployment.
Familiarity with big data technologies (Spark Hadoop) is a plus.
Understanding of MLOps model deployment and automation.
Soft Skills:
Strong leadership and team management skills.
Excellent problem-solving and analytical abilities.
Effective communication and collaboration skills.
Key Skills
- Law Enforcement
- ABB
- Marine Biology
- Filing
- Automobile
- AV
About Company
Devsinc helps startups, enterprises and public sector clients accelerate their technology life cycle, by unlocking access to 2,000+ passionate and experienced solution providers with experience in 100+ technologies in their timezone.
