Job Description

Roles & Responsibilities

About the Role: - Design, develop, and deploy ML/DL and LLM solutions - Collaborate with cross-functional teams to build scalable AI products Responsibilities: Develop and optimize machine learning and deep learning models Fine-tune and implement large language models for NLP Collaborate with data scientists, engineers, and product managers Manage data preprocessing, feature engineering, and model evaluation Monitor model performance and iterate to improve accuracy and scalability Document experiments and share best practices Required Qualifications: Bachelor’s degree in Computer Science or related field 2+ years of experience in ML/DL/AI engineering Proficiency in TensorFlow, PyTorch, and Python Hands-on experience with large language models and NLP techniques Strong ML fundamentals and data processing skills Excellent analytical and communication abilities Preferred Qualifications: Master’s or higher in AI, Machine Learning, or related field Experience deploying models on AWS, GCP, or Azure Familiarity with MLOps tools (Docker, Kubernetes, CI/CD) Experience with generative AI and distributed training Contributions to open-source AI/ML projects or publications