Job Description

About Talent500 TechTalent500 helps companies hire, build and manage global teams. We are trusted by the worlds leading companies - from Fortune 500s to fast-growth startups - to help them build and run their high-impact remote teams. Today, Talent500 is the fastest growing remote team builder in the world.
Our suite of proprietary AI-enabled tools and products provide businesses with an end-to-end platform to build their global teams. This includes access to a Global Talent Network of 300,000+ professionals globally and tools to manage contracting, payroll and benefits without the hassle of setting up legal entities or infrastructure.
We are backed by Accel Partners & ANSR, a global leader and enterprise transformation platform. For the last 15 years, the worlds leading organisations have trusted ANSR to transform their businesses by building technology and innovation hubs in talent-rich locations.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. & 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

• 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

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