JD for Senior Machine Learning Engineer
Educational Qualifications:
- Bachelor’s or advanced degree in Computer Science, IT, Electronics & Communication, or related engineering fields, or data-intensive disciplines such as Applied Mathematics, Economics, Physics, or Statistics.
Requirements:
- Professional experience in developing and deploying machine learning models in production systems. Includes developing optimization algorithms or machine learning or deep learning models in production settings for 5+ projects.
- Experience managing teams of 3 or more junior data scientists/engineers, including project planning and delivery.
- Professional experience in using frameworks like PyTorch, TensorFlow, or Keras for building and optimizing machine learning pipelines.
- Proficiency in data wrangling and preparation using Python-based libraries (e.g., Pandas, Dask).
- Experience in Government project, public sector, Digital Transformation, AI/ML Strategy & Governance, Enterprise Architecture, Data Governance & Integration , Public Sector Transformation
Good to Have:
- Professional experience in the development sector or government projects, with a focus on social good problem statements.
- Experience in working on policy-oriented or technology-focused projects in collaboration with government or non-profit organizations.
- Familiarity with large-scale IT systems or platforms in public or private sectors.
