Team Lead AI ML

3 weeks ago


delhi, India Ceinsys Tech Limited Full time
Company Description
Ceinsys, a global player in Geospatial Engineering, new-age mobility, and Digital Reality, focuses on enhancing possibilities for clients through technology and critical business insights. With over 2 decades of strategic involvement, Ceinsys is a CMMI Level 5 organization listed on BSE. The company's geospatial experts provide strategic consultancy across various domains, while the mobility engineering services and digital reality solutions aim to empower businesses through immersive technology.
Ceinsys Tech Limited
#Hiring Team Lead AI/ML
Location: Onsite Pune
Interested candidates can share their resumes at
Role Description
This is a full-time on-site role for a Lead AI ML at Ceinsys Tech Limited in Pune. The Lead AI ML will be responsible for leading AI/ML projects, developing and implementing AI models, optimizing algorithms, collaborating with cross-functional teams, and staying abreast of industry trends. Additionally, the role involves driving innovation and strategic decision-making in AI/ML projects.
Qualifications
Proficiency in Machine Learning, Artificial Intelligence, and Data Science
Experience in developing and implementing AI models
Strong programming skills in languages like Python, R, or Java
Deep understanding of algorithms, data structures, and statistical modeling
Experience with big data technologies like Hadoop, Spark
Excellent analytical and problem-solving abilities
Advanced degree in Computer Science, Engineering, Mathematics, or related field
Roles & Responsibilities
Leadership: Guide AI/ML engineers and data scientists, set clear objectives, and foster a collaborative team culture.
Technical Direction: Define technical strategies for AI/ML projects aligned with business goals.
Project Management: Oversee the execution of AI/ML projects from inception to deployment.
Mentorship: Provide technical guidance and help team members grow their AI/ML skills.
Collaboration: Work with cross-functional teams to integrate AI/ML solutions into products.
Optimization: Ensure efficient model performance and scalability.
Documentation: Maintain comprehensive records of AI/ML models and algorithms.
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