Hybrid Senior Manager

Posted 2 weeks ago

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About the role

  • Lead the fine-tuning and customization of OCR, Image-to-Text, and generative AI models tailored to client needs.
  • Develop effective prompt engineering strategies to optimize generative AI outputs.
  • Oversee data annotation and tagging workflows to maintain high-quality training data.
  • Implement and maintain ML/AI model monitoring systems to ensure consistent performance post-deployment.
  • Support MLOps activities including model versioning, deployment, and continuous integration.
  • Collaborate cross-functionally to drive AI/ML solution integration and scalability.
  • Leverage Python ML frameworks (TensorFlow, PyTorch, scikit-learn) and AWS AI/ML services (SageMaker, Lambda, S3).
  • Mentor junior team members and foster a culture of innovation and continuous learning.

Requirements

  • 8-10 years of experience in AI/ML development, with strong focus on OCR, Image-to-Text, and prompt engineering.
  • Domain Experience in F&A is highly preferred.
  • Proficient in Python and ML frameworks with practical experience in model fine-tuning.
  • Deep understanding of data annotation, tagging, and dataset management.
  • Basic knowledge of MLOps pipelines and deployment workflows.
  • Experience with ML/AI model monitoring and troubleshooting in production environments.
  • Hands-on experience with AWS AI/ML tools and cloud infrastructure.
  • Excellent analytical, problem-solving, and communication skills.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

Job title

Senior Manager

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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