Ai Ml Engineer with Gen AI

Roles & Responsibilities: - Develop, train, and deploy AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. - Work on large language models (LLMs) including GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). - Implement prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines. - Build AI solutions across domains such as NLP, computer vision, deep learning, and other AI applications. - Utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. - Work with Databricks, Snowflake, LangChain, LlamaIndex, Semantic Kernel, and memory frameworks like Mem0 for long-term context. - Collaborate with cross-functional teams to integrate AI models into applications and ensure performance and scalability. - Conduct data analysis, model evaluation, and troubleshooting to improve model performance. - Stay updated on emerging trends and advancements in AI, ML, and Generative AI technologies. Preferred Candidate Profile: - Hands-on experience with Python, PyTorch, and libraries for data manipulation (Pandas, NumPy). - Strong experience in machine learning, deep learning, NLP, and computer vision. - Experience with Generative AI, including text and image generation. - Knowledge of MLOps, CI/CD, cloud platforms, and containerization. - Strong problem-solving, communication, and collaboration skills. - Passion for AI innovation and exploring frontier AI technologies. Skills: Machine Learning, Artificial Intelligence, Pytorch, Sql, Python Experience: 3.00-8.00 Years