Lead Data Scientist
Omni Inclusive
AI/ML EngineerSkill - Yes/No - Years of Exp (Min) - Intermediate/ Proficient/ ExpertAI / MLMicroservices & API DevelopmentPythonSQLKnowledge of popular LLMs like ChatGPT, Claude, etcPrompt engineeringJob ResponsibilitiesMaintain and monitor existing AI/ML based solutions/servicesDevelop automated alerting system to ensure quality of the services and dataDevelop data visualizations and reports to communicate findings to stakeholdersCollaborate with cross-functional teams to identify business problems and develop data-driven AI/ML solutionsInfluence short- and long-term strategy with cross-functional teams to drive impact.Support on-call shift as needed to support the teamMinimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Strong experience with SQL and data visualization tools (e.g., Tableau, Power BI, etc.)Experience with data cleaning, data preprocessing, and data analysis5+ years of experience in software development with Python (knowledge/experience with PHP or Java is a plus)Experience with service deployment, microservices, and APIs (RESTful API or GraphQL) designsExperience with git or similar version control tools. Good understanding of version control (branch, commit, pull, etc.)Preferred QualificationsExperience with service monitoring, anomaly detection, and alert automationKnowledge of CI/CD, containerization, container orchestration, and IaCFamiliarity with agile development methodologies such as Scrum or KanbanUnderstanding of predictive analytics and algorithms like linear regression, clustering, decision trees, etc.Knowledge of prompt engineeringKnowledge of popular LLMs like ChatGPT, Claude, etc. and introductory experience with prompting and prompt engineering.
Vacancy posted 3 days ago
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