Overview
We are seeking a highly experienced AI to drive strategic initiatives and lead technical teams in Machine Learning, Deep Learning, and Generative AI. This role is pivotal in shaping our Industry 4.0 journeytransforming processes, enabling intelligent automation, and creating enterprisescale competitive advantage.
What You'll Lead
- Architect and deploy largescale ML, Deep Learning, and Generative AI systems (LLMs, VLMs, diffusion models, multimodal).
- Define and execute AI/ML strategy aligned with organizational goals and Industry 4.0 initiatives.
- Oversee scalable ML pipelines ensuring robustness, reliability, and efficiency.
- Provide technical leadership in MLOps, governance, and deployment across edge and cloud.
- Collaborate with executives, product leaders, and domain experts to drive AIpowered innovation.
- Mentor and grow data scientists, ML engineers, and research teams.
- Represent the company in conferences, partnerships, and technical forums as a thought leader.
Qualification
- Master's/PhD in CS, Data Science, or AI/ML.
- 10+ years in ML/Deep Learning, with 3+ years in leadership roles.
- Proven track record of deploying AI at scale across industries (manufacturing, healthcare, finance, logistics).
- Expertise in TensorFlow, PyTorch, Hugging Face Transformers.
- Handson with Generative AI models (LLMs, GANs, diffusion, transformers, VLMs).
- Strong knowledge of RAG pipelines, vector databases, transfer learning.
- Deep understanding of distributed systems, HPC, and cloud (AWS, Azure, GCP).
- Experience with MLOps (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) and responsible AI.
- Research orientation with exposure to publications, patents, or opensource contributions.
Experience: 5 to 7 years
Notice Period: Immediate to 90 days
Location: Pan India
If interested, please share your resumes to [Confidential Information]
