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.
- 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