DataOps and MLOps (Contract)
Job Summary
Primary Skill : DataOps and MLOps LLMs AI/ML
4 years of primary hands-on experience in Data Science and Predictive Modelingwith a strong foundation in a production environment.
Demonstrable hands-on knowledge and proficiency with Python and SQL (a musthave requirement for this role) including libraries such as Pandas Scikit-learn andNumPy.
3 years of dedicated experience in Statistical Analysis Machine Learning (ML)algorithms and deploying models into production.
Strong understanding of Data Integration Feature Engineering and working withboth structured and unstructured datasets.
Experience with Model Documentation and tracking experiments (e.g. MLflowDVC or Jupyter) and a commitment to reproducible research practices.
Excellent analytical and mathematical skills with a strong attention to detail whenvalidating data integrity and model performance.
Strong written and verbal communication skills including the ability to translatecomplex data findings and statistical metrics into actionable business insights fornon-technical stakeholders.
Proven ability to work independently manage end-to-end data projects (fromdiscovery to deployment) and thrive in a fast-paced data-driven setting