AI ML Engineer

About Us Talent500: Talent500 is a leading provider of talent acquisition solutions, committed to helping companies find and hire the best talent in the industry. With a proven track record of success, Talent500 uses a data-driven approach to identify and attract top candidates, providing companies with the tools and expertise they need to build high-performing teams. Job Description & Responsibilities: Build scalable software solutions using LLMs and ML models to solve challenges in HRtech. Assist in the development and maintenance of ML pipelines, including data preprocessing, feature extraction, model training, validation, evaluation and deployment Build enterprise grade AI solutions with focus on privacy, security, transparency and AI explainability . Maintain and re-train existing AI models Build solutions that align with responsible AI practices. Envision the solution outcomes to solve the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks (Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization Experience Required: Overall 5 years of relevant experience Experience in building APIs with Flask and Fast framework Experience with AWS cloud, Sagemaker, Bedrock Experience in implementing enterprise systems in production for AI, computer vision, and natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage / retrieval using vector databases Strong understanding and exposure in Gen AI Experience with designing scalable AI solutions for classification, text extraction, text summarisation, recommendation systems, chatbot Experience with machine learning libraries and frameworks such as PyTorch ,TensorFlow, Transformers, Hugging Face, Langchain, Llama Index etc Programming experience in SQL, Elastic Search, Python

Location: Noida, IN

Posted Date: 9/19/2024