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Responsibilities:

  • Develop & Implement ML Models: Design, build, and deploy advanced models in computer vision, NLP, and generative AI.
  • Data Preparation & Analysis: Collect, preprocess, and analyze diverse datasets to create robust models.
  • Research & Experimentation: Stay ahead of the curve with the latest research and experiment with new techniques to enhance model performance.
  • Collaborate: Work closely with cross-functional teams to integrate machine learning solutions into production systems.
  • Optimize & Maintain: Ensure models are optimized for speed, accuracy, and scalability, and continuously improve based on feedback.
  • Document & Report: Keep detailed documentation of processes and communicate findings effectively to stakeholders.

Requirement:

  • Educational Background: Bachelor’s or master’s degree in computer science, Data Science, or a related field.
  • Experience: 3+ years of hands-on experience in machine learning with a focus on computer vision and generative AI.
  • Technical Skills: Proficiency in Python, TensorFlow, Keras, PyTorch, OpenCV, Langchain, and experience with generative models like GANs, VAEs, and autoregressive models. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.
  • Soft Skills: Excellent communication, teamwork, problem-solving, and critical-thinking abilities.

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