03 Oct
LTIMindtree
Bengaluru
We are hiring for Data Scientist
Experience - 10 to 15 Years
Location : Bangalore, Chennai, Pnune
Notice period - immediate to 30 days
Key Responsibilities
Lead the design, architecture, and deployment of large-scale ML, Deep Learning, and Generative AI systems.
Drive AI/ML strategy in alignment with organizational goals and Industry 4.0 initiatives.
Architect and implement state-of-the-art Generative AI solutions including LLMs, VLMs, diffusion models, and multimodal systems.
Oversee 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.
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.
Required Skills & Qualifications
Education: Master’s/PhD in Computer Science, Data Science, AI/ML, or related field.
Experience: 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 (manufacturing, healthcare, finance, logistics, etc.).
Solid expertise in deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Hands-on experience with Generative AI models (LLMs, GANs, diffusion models, transformers, VLMs).
Strong knowledge of model fine-tuning, transfer learning, RAG pipelines, and vector databases.
Deep understanding of distributed systems, model optimization, and high-performance computing for AI workloads.
Proven ability to architect AI solutions across cloud (AWS, Azure, GCP) and hybrid/edge deployments.
Experience with MLOps (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) and responsible AI practices.
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.
Understanding of reinforcement learning, edge AI, and federated learning.
Global experience working across geographies and diverse teams.
If Interested, Kindly share me your updated CV with below details -
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📌 Principal Data Scientist
🏢 LTIMindtree
📍 Bengaluru
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