
Data Innovation Leader
2 days ago
We are seeking a seasoned professional to spearhead our data-driven initiatives by embracing a comprehensive approach to machine learning.
- About the Role:
The ideal candidate will have a strong background in AI/ML, spanning NLP, deep learning, computer vision, image processing, and with introductory experience in building or fine-tuning generative AI models.
The successful candidate will lead applied research and development of advanced AI/ML solutions across domains including recommender systems, computer vision, speech processing, and generative AI agents.
- Main Responsibilities:
Key Deliverables:
- Develop and deploy end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modeling, and image analysis techniques
- Design scalable, maintainable AI/ML platforms that deliver robustness, reliability, and alignment with enterprise objectives
- Partner with engineering, design, and product teams to operationalize ML models, ensuring seamless integration and measurable business impact
- Requirements:
Candidates must have:
- A graduate degree from a top-tier institution (IITs, IIITs, NITs) with 5–8 years of experience in AI/ML
- Proven leadership (2+ years) in leading teams and driving ML projects, with a track record of building strong Data Science practices and fostering high-performance culture
Desirable Skills:
- Strong expertise in multiple areas of AI/ML, such as NLP, deep learning, computer vision, and time-series modeling
- Excellent problem-solving skills, with the ability to analyze complex problems and develop innovative solutions
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
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