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AI ML Engineer

4 months ago

Bengaluru, India Talent500 Tech Full time

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