Bangalore, Karnataka, India
Information Technology
Full-Time
Tech Mahindra
Overview
Job Summary
What¿s the Role? We are seeking AI/ML (Artificial Intelligence and Machine Learning) Data Scientist for project delivery. As a member of the team, you will play a crucial role in developing and implementing cutting edge AI/ML solutions to drive innovation and deliver business value for clients. You will collaborate with cross functional teams, including data scientists, software engineers, and business stakeholders, to develop and deploy AIML models and applications. This is an exciting opportunity to work on challenging projects and contribute to the advancement of AI/ML technologies. Job Summary
What¿s the Role? We are seeking AI/ML (Artificial Intelligence and Machine Learning) Data Scientist for project delivery. As a member of the team, you will play a crucial role in developing and implementing cutting edge AI/ML solutions to drive innovation and deliver business value for clients. You will collaborate with cross functional teams, including data scientists, software engineers, and business stakeholders, to develop and deploy AIML models and applications. This is an exciting opportunity to work on challenging projects and contribute to the advancement of AI/ML technologies. Job Summary
- Strongknowledge in AI/ML libraries and frameworks (e.g., PyTorch, scikit learn) along with good hold in Python.
- Strong understanding of AI/ML concepts (machine learning and deep learning), and techniques with practical implementation experience.
- Knowledge in applying Gen AI based approaches along with NLP, both using LLM / SLMs and fine tuning.
- Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simulta Mandate skills- 8+ Yrs of total experiecne with 5 years of relevant hands-on experience Experience on both traditional ML and Deep Learning Worked on NLP use cases (beyond standard entity extraction, sentiment analysis, chatbots) Worked with Language Models in areas like advanced RAG, finetuning, optimization, agentic approaches (simple LLM integrations in chatbot or basic RAG will not be sufficient)
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