Data Science Leadership Position

1 month ago


PuneBangalore, India ElementSkill Full time

About the Role

We are seeking a seasoned Senior Data Scientist to join our team at ElementSkill. This is a key position that requires a deep understanding of machine learning methodologies and experience in deploying AI models in production environments.

Key Responsibilities

  • Leverage data to drive business decisions and enhance operational efficiencies
  • Design and implement scalable architectures for AI/ML models
  • Develop and optimize machine learning models using traditional and Generative AI techniques
  • Collaborate with cross-functional teams to integrate AI/ML solutions into business workflows
  • Mentor junior team members and guide them in their professional development

Technical Requirements

  • Proven experience in traditional machine learning techniques, including regression, classification, decision trees, and ensemble methods
  • Strong grasp of Generative AI models, such as GPT, BERT, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs)
  • Proficiency in MLOps tools and frameworks, such as MLflow, Kubeflow, Apache Airflow, and TensorFlow Extended
  • Familiarity with cloud platforms, such as AWS, Google Cloud Platform (GCP), and Microsoft Azure
  • Strong programming skills in Python and experience using machine learning and deep learning frameworks like TensorFlow, PyTorch, scikit-learn, and Hugging Face

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
  • 3+ years of experience working on machine learning projects, particularly with traditional ML methods
  • Familiarity with business problem-solving techniques and the ability to create impactful insights through data analytics
  • Cloud platform familiarity, particularly with AWS, Azure, or Google Cloud for ML deployment

What We Offer

As a Senior Data Scientist at ElementSkill, you will have the opportunity to work on challenging projects, collaborate with a talented team, and contribute to the development of AI/ML solutions that drive business value.



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