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Workforce Management Lead at HEXAWARE
, , India -
Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

0.0

Posted On

16 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Generative AI, Machine Learning, Deep Learning, Model Deployment, Natural Language Processing, Computer Vision, Data Engineering, Data Pipeline Development, AI Research, Model Optimization

Industry

IT Services and IT Consulting

Description
1 Job Description – Data Scientist (Assistant Manager) 1. Position Objective  We are seeking a highly skilled AI Expert with hands-on experience in Generative AI and ML model deployment. The ideal candidate will have a strong background in machine learning, deep learning, and AI technologies, with a proven track record of working on innovative AI projects. 2. Key Responsibilities  Design, develop, and deploy machine learning models and AI solutions.  Work on Generative AI projects, including but not limited to text generation, image synthesis, and other creative AI applications.  Collaborate with cross-functional teams to integrate AI models into production environments.  Optimize and fine-tune models for performance, scalability, and accuracy.  Stay up-to-date with the latest advancements in AI and machine learning technologies.  Conduct research and experiments to push the boundaries of AI capabilities.  Provide technical guidance and mentorship to junior team members. 3. Business environment  Vertical: Delivery Support  Process Name: WFM 4. Organization chart  Reporting To: General Manager  Reportees (if Any): Preferred Qualification - Experience with natural language processing (NLP) and computer vision. Knowledge of data engineering and data pipeline development. Contributions to open-source AI projects or publications in reputable AI conferences/journals. Experience • Hands on experience working on AI projects
Responsibilities
The role involves designing, developing, and deploying machine learning models and Generative AI solutions. The lead will collaborate with cross-functional teams to integrate these models into production and provide technical mentorship to junior staff.