Data Scientist

Job Title: Data Scientist (3-4 Years’ Experience) Location: Mysuru, India (On-site) Joining: Immediate About Us Enkefalos Technologies LLP is a pioneering AI company that builds cutting-edge AI solutions, leveraging LLMs, Generative AI, and advanced Machine Learning techniques. We are looking for a talented AI Engineer with 3-4 years of experience in Python, Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) to join our AI team. If you are passionate about building innovative AI solutions and want to work on cutting-edge technologies like Generative AI , LLMs (Large Language Models) , and agentic workflows , we would love to hear from you! Key Responsibilities Develop, fine-tune, and deploy Machine Learning, Deep Learning, and NLP models for various use cases. Work on Generative AI applications, including text generation, summarization, and content creation. Collaborate with cross-functional teams to understand business requirements and design AI solutions accordingly. Train, fine-tune, and optimize LLM models using custom datasets. Implement and integrate APIs, agentic workflows, and third-party AI tools to build end-to-end AI applications. Monitor, evaluate, and improve model performance using various evaluation metrics. Contribute to building AI pipelines and scalable architectures for deployment. Required Skills and Experience 3-4 years of hands-on experience in: Python programming for Machine Learning and Deep Learning. Machine Learning (ML) models such as Linear Regression, Random Forest, XGBoost, etc. Deep Learning (DL) frameworks like TensorFlow, PyTorch, HuggingFace, etc. Natural Language Processing (NLP) using transformers, BERT, GPT, etc. Generative AI (GenAI) models like GPT-4, Claude, Gemini, etc., and working with Large Language Models (LLMs). Training and fine-tuning LLMs (Large Language Models) using custom datasets. Job Type: Full-time Pay: ₹326,892.23 - ₹1,292,032.67 per year Benefits: Paid sick time Provident Fund Work from home Schedule: Day shift Fixed shift Work Location: In person