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.
Any graduate