
Data Architect Specialist
1 day ago
We are seeking a visionary and experienced data scientist to spearhead our efforts in designing, architecting, and deploying cutting-edge Machine Learning (ML), Deep Learning (DL), and Generative AI systems.
The ideal candidate will have a strong background in AI/ML and experience in driving strategic initiatives aligned with organizational goals and industry objectives.
Key Responsibilities:
- Design and deploy state-of-the-art Generative AI solutions including Large Language Models (LLMs), Vision-Language Models (VLMs), diffusion models, and multimodal systems.
- Drive AI/ML strategy and oversee the development of scalable ML pipelines ensuring robustness, reliability, and efficiency.
- Provide technical leadership in MLOps, deployment strategies, and governance for AI models across edge and cloud environments.
- Collaborate with executive leadership, product managers, and domain experts to shape AI-driven innovation and evaluate emerging research and technologies.
- Mentor, coach, and grow data scientists, ML engineers, and research teams.
Requirements:
- Master's/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 and strong knowledge of model fine-tuning, transfer learning, and RAG pipelines.
Preferred Skills:
- Experience in Industry 4.0 use cases such as digital twins, predictive maintenance, robotics, and computer vision in industrial environments.
- Familiarity with Agentic AI frameworks, Model Context Protocol (MCP), and knowledge graph-based reasoning.
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