Data Scientist – AI/ML/DL

About the job

Job Title: Data Scientist – AI/ML/DL Location: PAN India About the Role: We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools. Key Responsibilities: • Design, develop, and deploy AI/ML/DL models for real-world applications. • Work on Generative AI solutions and multi-modal language models. • Collaborate with cross-functional teams to deliver scalable AI solutions. • Optimize models for performance and accuracy across platforms. Requirements: Experience: 3–6 years in Data Science and AI/ML/DL domain. Hands-on experience in Generative AI and Deep Learning. Strong programming skills in Python and familiarity with Linux/Windows environments. Proficiency with data science toolkits: TensorFlow, Keras, PyTorch, Pandas, NumPy, etc. Understanding of AI tool stack: NeMo Framework, NIMs. Certifications: Preferably NVIDIA Certified Associate on GenAI. Exposure to GenAI frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT). Knowledge of DL/GenAI algorithms: Transformers, CNN, RNN, etc. Experience with NLP, Large Language Models, and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron. Familiarity with Cloud platforms: Azure, AWS, or GCP. Experience with Git, Docker, and Kubernetes. Strong problem-solving and analytical skills. Why Join Us? Work on cutting-edge AI/ML projects. Collaborative and innovative work environment. Flexible location across PAN India.

Requirements

• AI/ML/DL
• Generative AI
• Deep Learning
• Python
• TensorFlow
• Keras
• PyTorch
• NLP

Preferred Technologies

• AI/ML/DL
• Generative AI
• Deep Learning
• Python
• TensorFlow
• Keras
• PyTorch
• NLP

About the company

LTIMindtree is a global technology consulting and digital solutions company that specializes in providing innovative solutions for various industries. It emphasizes flexibility and innovation through its collaborative work environment.