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 LLM’s 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 summarization, 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