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Job Description
Structured overview of role & requirementsAbout This Role
Lead the building and deployment of AI solutions including classification, clustering, anomaly detection, and NLP across multiple domains.
Manage end-to-end data science project lifecycle from data preparation to model evaluation, deployment, and visualization.
Collaborate with software teams using Agile methodologies, version control, ML Ops practices, and ensure production-ready code and documentation.
Minimum Requirements
9+ years in software engineering focused on Data Science with at least 1 year in a leadership role.
Proficiency in Python and SQL for production-level coding and data analysis, with hands-on experience in ML and NLP applications.
Experience with ML Ops, model development pipelines, feature engineering, and Azure AI Search.
Strong English communication skills at B2+ level or higher; familiarity with Agile frameworks and UNIX command line.
Ideal Candidate Profile
Experienced in managing AI/ML projects end-to-end with demonstrated leadership capacity of at least 1 year.
Technically skilled in production-level AI model deployment and integrating models for business user accessibility.
Comfortable working in Agile software development environments, collaborating across teams using tools like GitLab and Jira.