AI Leader

1 week ago

Pushkar, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Artificial Intelligence Lead

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We are seeking an experienced Artificial Intelligence Lead to join our team. As a key member of our organization, you will be responsible for leading the design, architecture, and deployment of large-scale AI systems.

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Key Responsibilities:

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  • Design and deploy state-of-the-art AI solutions including LLMs, VLMs, diffusion models, and multimodal systems.">
  • Drive AI strategy in alignment with organizational goals and Industry 4.0 initiatives.">
  • Oversee development of scalable AI pipelines, ensuring robustness, reliability, and efficiency.">
  • Provide technical leadership in MLOps, deployment strategies, and governance for AI models across edge and cloud.">
  • Collaborate with executive leadership, product managers, and domain experts to shape AI-driven innovation.">
  • 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.">
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Required Skills & Qualifications:

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Education: Master's/PhD in Computer Science, Data Science, AI/ML, or related field.

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Experience: 10+ years of experience in Machine Learning and Deep Learning with at least 3+ years in leadership roles.

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Proven track record in deploying AI solutions at scale across multiple domains (manufacturing, healthcare, finance, logistics, etc.).

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Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.

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Hands-on experience with Generative AI models (LLMs, GANs, diffusion models, transformers, VLMs).

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Strong knowledge of model fine-tuning, transfer learning, RAG pipelines, and vector databases.

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Deep understanding of distributed systems, model optimization, and high-performance computing for AI workloads.

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Proven ability to architect AI solutions across cloud (AWS, Azure, GCP) and hybrid/edge deployments.

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Experience with MLOps (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) and responsible AI practices.

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Preferred Skills:

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Experience in Industry 4.0 use cases such as digital twins, predictive maintenance, robotics, and computer vision in industrial environments.

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Familiarity with Agentic AI frameworks, Model Context Protocol (MCP), and knowledge graph-based reasoning.

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Understanding of reinforcement learning, edge AI, and federated learning.

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Global experience working across geographies and diverse teams.

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About Our Organization

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We are a leading digital transformation consulting and technology services company.

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How to Apply:

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Please submit your updated CV with relevant details.

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