Deep Learning Expert

4 weeks ago

Bengaluru, Karnataka, India Nexthire Full time

Job Role: Deep Learning Consultant

Key Responsibilities:

  • Design, develop, and implement deep learning models for various business applications, leveraging state-of-the-art techniques in computer vision, natural language processing, or other domains.
  • Apply core machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch) to solve complex business problems.
  • Lead advanced machine learning projects, collaborating with cross-functional teams, from data preprocessing to model deployment.
  • Evaluate model performance and improve model accuracy through hyperparameter tuning, feature engineering, and other optimization techniques.
  • Deploy, scale, and manage machine learning models on AWS cloud services such as Amazon SageMaker, EC2, Lambda, and S3.
  • Collaborate with data engineers and data scientists to ensure smooth integration of ML models into production systems.
  • Stay up to date with the latest research and trends in deep learning and machine learning, applying cutting-edge techniques to business challenges.
  • Provide technical mentorship and guidance to junior team members in deep learning and ML best practices.

Required Qualifications:

  • 2-3 years of hands-on experience in developing and deploying deep learning models.
  • Strong experience in core ML algorithms and frameworks such as TensorFlow, PyTorch, Keras, etc.
  • Proven track record of delivering advanced machine learning projects from concept to deployment.
  • Experience in using AWS cloud services for machine learning workflows (e.g., Amazon SageMaker, EC2, Lambda, S3, etc.).
  • Experience in data preprocessing, feature engineering, and model optimization.
  • Strong programming skills in Python (or other relevant languages) and experience with libraries like NumPy, pandas, etc.
  • Excellent problem-solving skills with a keen attention to detail.
  • Ability to work independently and in a collaborative environment with cross-functional teams.

Preferred Qualifications:

  • Experience in handling large-scale datasets and model training on distributed systems.
  • Familiarity with ML Ops and deploying models in a production environment.
  • AWS Certification in Machine Learning or Data Science.
  • Knowledge of DevOps practices for ML, such as continuous integration/continuous delivery (CI/CD) pipelines.

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