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.