The Data & AI Solutions Engineer will lead the end-to-end lifecycle of data and AI projects, design and develop AI-enabled solutions, and collaborate with business stakeholders to identify AI, BI, and ML opportunities.
Requirements
- Bachelor’s degree in Data Science, Artificial Intelligence, or a related field.
- Minimum 2 years of hands-on experience in AI/ML implementation, data engineering, or similar roles.
- Relevant certifications (e.g., Azure AI Engineer, Azure Data Engineer, or equivalent).
- Experience working with cloud platforms and data services.
- Hands-on experience with tools such as Databricks, Microsoft Fabric, or similar platforms.
- Strong proficiency in SQL and Python.
- Solid understanding of machine learning concepts and practical implementation.
- Good knowledge of data governance, privacy, and security frameworks.
- Strong teamwork, communication, and project management skills.
- Excellent analytical thinking, problem-solving, decision-making, and time management skills.
- Ability to work independently with minimal supervision and under flexible or extended working hours when required.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
To apply for this job please visit careers.keells.com.
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