Company Overview
Commitment, reliability, and passion—these are the driving forces that empower you to shape your future with confidence and purpose.
Responsibilities
- Maintain & Optimize – Support and enhance existing machine learning models and workflows deployed on Azure ML to ensure peak performance.
- Empower Self-Service – Promote and deploy self-service analytics and data science tools, enabling business users to explore data and generate insights independently.
- Drive Innovation – Collaborate with cross-functional teams to identify opportunities for leveraging advanced analytics and AI, fostering a data-driven decision-making culture.
- Generative AI & Business Intelligence – Lead and support the integration of Generative AI models and Generative BI capabilities, identifying practical applications and ensuring successful deployment.
- Cloud Integration – Seamlessly connect data science solutions across Azure ML, GCP, and Vertex AI for interoperability and optimal system performance.
- Training & Enablement – Conduct workshops and training sessions to enhance data literacy and equip internal teams with AI and data science expertise.
Experience & Qualifications
- Experience – 3+ years in data science, machine learning, or related fields, with a proven track record of deploying machine learning models in production environments.
- Technical Expertise – Strong hands-on experience with Azure ML, SQL, and Python.
- Education – Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- Certifications – Azure, GCP, or other relevant platform certifications are a plus.