Data Scientist

Role Overview:We are seeking aSenior Machine Learning Software Engineerto join our team and drive the development ofcutting-edge AI/ML solutions. You will play a key role indesigning, building, and optimizingourmachine learning infrastructurewhile collaborating withProduct Managers, Data Scientists, and Engineersto bring innovative models into production. The ideal candidate should have a strong background inML operations, software engineering, and automationto ensure a scalable and robust AI-driven ecosystem.

Key Responsibilities:Operationalizeleadingdata and analytics technologieswhile following best practices.

• Partner withProduct Managersto understand customer requirements,design prototypes, and deploy solutions to production.

Design, build, harden, and maintainthe core infrastructure supporting theML platform and lifecycle.

• Define and contribute to thetechnology strategy, roadmap, and prioritiesfor AI/ML initiatives.
• Automate every aspect of theML infrastructuretominimize human interventionand improve efficiency.
• Encourage andimplement best practicesindata engineering and software development.
• Writehigh-quality, production-grade codethat aligns with company standards and contribute tonew standardization efforts.
• Implementautomated testingto ensure reliability and correctness of ML models and infrastructure.
• Review and mentorother engineers to promote high-quality engineering practices.
• Actively participate intechnical communities-of-practiceandcontinuing education programsto advance personal and organizational growth.
• Facilitateproblem diagnosis and resolutionacrosstechnical and functionalareas.

Required Skills & Competencies:8+ yearsof experience insoftware engineering, machine learning, or data engineering.

• Expertise indesigning, coding, and scriptingto developreal-world AI/ML solutions.
• Strong programming skills inPython, Java, or Scalawith hands-on experience inML frameworks.
• Experience withML model deployment, MLOps, and automation.
• Proficiency incloud-based ML solutions.
• Knowledge ofdata pipeline orchestration tools.
• Strong background indata engineering concepts.
• Experience working withcontainerization.
• Strong analytical and problem-solving skills with acollaborative mindset.
• Excellentcommunication and leadership skillswith the ability tomentor and guidejunior engineers.