AI & Data Engineer

Responsibilities:

- Design, develop, and implement AI models, including large language models, to solve business challenges.

- Build and maintain data pipelines, ETL processes, and data integration workflows using Python, JavaScript, and SQL.

- Create and optimize complex SQL queries and manage databases within Microsoft SQL Server.

- Develop machine learning models and algorithms for predictive analytics, classification, clustering, and other advanced data-driven insights.

- Collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions and data science models.

- Implement prompt engineering techniques to optimize and fine-tune large language models for specific tasks.

- Design and execute data analytics and visualization tasks to extract actionable insights from large datasets.

- Develop logical, algorithmic programming solutions to optimize processes and enhance system performance.

- Ensure data quality, data governance, and best practices in data management.

- Document processes, models, and workflows clearly and maintain code quality through version control and testing.

Qualifications:

- Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.

- Minimum of 2 years of experience in AI, Data Analytics, Data Science, Machine Learning, and Database Engineering.

- Proficiency in Python and JavaScript for data manipulation, automation, and integration tasks.

- Solid experience with Microsoft SQL Server, including query optimization, stored procedures, and database management.

- Strong understanding of machine learning algorithms, statistical models, and large language models.

- Experience in logical algorithmic programming and prompt engineering for AI models.

- Familiarity with data visualization tools and libraries (e.g., Matplotlib, Plotly, Power BI).

- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

- Excellent problem-solving skills and the ability to work both independently and collaboratively.

- Strong communication skills with the ability to present technical concepts to non-technical stakeholders.