Data & AI Specialist
Role details
Job location
Tech stack
Job description
We are looking for a highly motivated Data & AI Specialist to design, build, and deploy data-driven and AI-powered solutions that enable smarter business decisions. This role combines data engineering, advanced analytics, and machine learning to create scalable, intelligent systems that deliver measurable impact.
You will work cross-functionally with engineering, product, and business stakeholders to transform complex datasets into actionable insights and production-ready AI solutions.
Key Responsibilities
Design, build, and maintain reliable, scalable data pipelines and infrastructure to support analytics and AI initiatives.
Develop, train, evaluate, and deploy machine learning and AI models for predictive and prescriptive use cases.
Perform exploratory data analysis on large, complex datasets to uncover trends, patterns, and insights.
Collaborate with cross-functional teams to identify opportunities for AI-driven optimization and automation.
Implement data preprocessing, feature engineering, and model validation techniques to ensure high-quality model performance.
Monitor deployed models, assess performance metrics, and retrain or refine models to maintain accuracy and relevance.
Ensure data quality, integrity, compliance, and governance across all data systems and workflows.
Clearly communicate analytical findings and model results to both technical and non-technical stakeholders.
Stay current with emerging trends, tools, and best practices in data engineering, machine learning, and artificial intelligence.
Requirements
Experience in data analysis, including working with structured and unstructured datasets.
Experience in quality analysis, validation, and data accuracy assessment.
Strong software and programming skills, with experience in building data-driven applications or pipelines.
Experience in trend analysis, forecasting, or pattern identification using data.
Familiarity with machine learning concepts, model evaluation techniques, and AI lifecycle management.
Preferred Qualifications
Experience with cloud-based data platforms and scalable data architectures.
Hands-on experience with machine learning frameworks and analytics platforms.
Ability to translate business problems into analytical or AI solutions.
Strong problem-solving skills and a passion for data-driven decision-making.
