Senior Data Scientist - Pune, Mumbai - Go Digital Technology Consulting

    Go Digital Technology Consulting
    Go Digital Technology Consulting Pune, Mumbai

    6 days ago

    Full time ₹2,500,000 - ₹5,500,000 (INR) per year *
    Description

    Responsibilities:

    • Design and implement end-to-end machine learning workflows for image and computer vision applications, from data collection to model deployment.
    • Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to define and prioritize machine learning initiatives.
    • Document technical designs and model specifications, ensuring clarity and accessibility for stakeholders and team members.
    • Ensure adherence to best practices in model development, deployment, and monitoring, in alignment with the overall AI strategy.
    • Monitor model performance and implement strategies for continuous improvement and retraining as needed.
    • Develop scalable and efficient deep learning models using PyTorch, optimizing for performance and resource utilization.

    Qualifications:

    • Bachelors degree in Computer Science or a related field.
    • 4-7 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision tasks.
    • Proficient in using PyTorch for developing deep learning models, with a strong understanding of CNNs, transfer learning, vision transformers, and data augmentation techniques.
    • Solid understanding of computer vision concepts, including image classification, object detection, and image segmentation.
    • Strong programming skills in Python, with experience in data manipulation libraries such as NumPy and Pandas.
    • Experience with version control systems like Git.
    • Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset.

    Preferred Qualifications:

    • Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML services, particularly those related to model deployment and GPU training.
    • Understanding of MLOps principles and practices, including model monitoring, versioning, and governance.
    • Knowledge of GPU computing and tools for managing GPU resources (e.g., CUDA, cuDNN).
    * This salary range is an estimation made by beBee
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