Data Scientist Specialist

3 days ago

Kottayam, Kerala, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Machine Learning Engineer

Our organization is seeking a skilled machine learning professional to contribute to the development of advanced AI models. As a key member of our team, you will be responsible for designing, developing, and deploying cutting-edge machine learning solutions.

Key Responsibilities:

  • Develop and train generative AI models using frameworks such as TensorFlow or PyTorch.
  • Collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to clients.
  • Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.
  • Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.
  • Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.
  • Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.
  • Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.
  • Document model architecture, training processes, and performance metrics for internal and client-facing reports.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Proven experience in developing and deploying generative AI models.
  • Strong programming skills in Python and proficiency with machine learning libraries and tools.
  • Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models.
  • Understanding of ethical considerations and bias mitigation in AI systems.
  • Contributions to open-source projects or publications in relevant conferences/journals.
  • Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

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