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).
Solid 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.
Solid problem-solving, communication, and collaboration skills.
Passion for AI innovation and exploring frontier AI technologies.

📌 Ai Ml Engineer With Gen Ai Chennai
🏢 RandomTrees
📍 Chennai