Data Scientist

  • Clean, prepare, and explore data to find trends and patterns
  • Build, validate, and implement AI/ML models
  • Extensively document all aspects of the work including data analysis, model development, results
  • Collaborate with other team members teams to incorporate AI/ML models into software applications
  • Stay updated with the latest advancements in AI/ML domain and incorporate into day-to-day work


Requirements

  • 3-7 years of experience in AI/ML related work
  • Extensive experience in Python
  • Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis
  • Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras
  • Experience with GenAI, LLMs, RAG architecture would be a plus
  • Familiarity with cloud services such as AWS, Azure
  • Familiarity with version control systems (e.g., Git), JIRA, Confluence
  • Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro
  • Knowledge of CI/CD pipelines and DevOps practices
  • Experience delivering customer facing AI Solutions delivered as SaaS would be a plus
  • Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Strong problem-solving skills and attention to detail
  • Excellent verbal and written communication and teamwork skills


Benefits

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge technologies and innovative projects
  • Collaborative and inclusive work environment
  • Professional development and growth opportunities


See also

Data Science jobs by country — openings, pay and top skills →

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