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Lead AI Engineer

Supervity

🇺🇸San Jose, USleadonsite

  • aws
  • azure
  • deep learning
  • google cloud
  • machine learning
  • nlp
  • python
  • pytorch
  • tensorflow

Company Description

Supervity is the leader and innovator in the field of “Autonomous Enterprise Apps,” creating self-driving applications that manage business operations end-to-end. Powered by AI employees and governed by centralized AI command centers, these solutions reimagine operational efficiency across organizations with human supervision at the forefront. Supervity is a trailblazer in integrating AI technology into business processes, enabling smarter, faster, and more autonomous operations. The company's vision is to empower enterprises with cutting-edge AI solutions that drive business transformation.

Role Description

We are seeking a Lead AI Engineer for a full-time, on-site position based in Ahmedabad. In this role, you will lead AI and machine learning projects from ideation to deployment, with a focus on designing and implementing complex AI models and scalable algorithms. You will collaborate with cross-functional teams to develop intelligent solutions, enable seamless integration with enterprise systems, and drive performance optimizations. The Lead AI Engineer will also be responsible for ensuring model quality through rigorous testing, analysis, and iterative improvement while staying updated with emerging trends in AI and machine learning.

Qualifications

  • Strong expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP)
  • Proficiency in programming languages such as Python, TensorFlow, and PyTorch
  • Experience in Data Engineering, Data Preprocessing, and Feature Engineering
  • Knowledge of Model Deployment, Scaling, and Performance Optimization
  • Familiarity with Cloud Platforms such as AWS, Azure, or Google Cloud
  • Excellent problem-solving skills and ability to lead technical teams
  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field preferred
  • Experience in developing AI solutions for business or enterprise-level applications is a plus
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