
Chief Data Strategist
2 weeks ago
Job Title:
Data ArchitectWe are seeking an experienced Data Architect to lead the design, architecture, and deployment of large-scale Machine Learning (ML), Deep Learning, and Generative AI systems across multiple domains.
Key Responsibilities:
- Design and implement state-of-the-art Generative AI solutions including Large Language Models (LLMs), Vision Language Models (VLMs), diffusion models, and multimodal systems.
- Develop and oversee scalable ML pipelines, ensuring robustness, reliability, and efficiency.
- Provide technical leadership in Model Operations (MLOps) and deployment strategies for AI models across edge and cloud environments.
- Collaborate with executive leadership, product managers, and domain experts to shape AI-driven innovation and drive business growth.
- Evaluate emerging research and technologies in AI/ML and recommend adoption strategies for enterprise-scale impact.
- Mentor, coach, and grow data scientists, ML engineers, and research teams.
Requirements:
- Master's or PhD in Computer Science, Data Science, AI/ML, or related field.
- 10+ years of experience in Machine Learning and Deep Learning with at least 3+ years in leadership roles.
- Proven track record in deploying AI solutions at scale across multiple domains.
- Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Hands-on experience with Generative AI models, including LLMs, GANs, diffusion models, transformers, and VLMs.
Benefits:
This is a challenging opportunity to work on cutting-edge technology and contribute to the development of innovative AI solutions. Our team collaborates closely to drive business growth and improve customer experiences.
What We Offer:
- Opportunity to work on a wide range of AI projects, from NLP to computer vision.
- Chance to develop and apply new skills and technologies in AI/ML.
- Supportive team environment with opportunities for growth and professional development.
Additional Information:
Please note that we prioritize candidates with relevant industry experience and a strong background in AI/ML.
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