Description

You will design and implement AI models and data-driven solutions, owning the full lifecycle from data ingestion to model deployment.

This role is on-site.

Responsibilities

• Design and implement AI models, including large language models, using prompt engineering and fine-tuning techniques.
• Build and maintain data pipelines, ETL processes, and integration workflows.
• Develop machine learning models for predictive analytics, classification, and clustering.
• Create and optimize complex SQL queries and manage databases within Microsoft SQL Server.
• Execute data analytics and visualization tasks to extract insights from large datasets.

Required Skills

• Minimum 2 years of experience in AI, Data Analytics, Data Science, Machine Learning, or Database Engineering.
• Proficiency in Python and JavaScript for data manipulation and automation.
• Solid experience with Microsoft SQL Server, including stored procedures and query optimization.
• Strong understanding of machine learning algorithms, statistical models, and large language models.
• Experience in logical algorithmic programming and prompt engineering.
• Familiarity with data visualization tools such as Matplotlib, Plotly, or Power BI.
• Any graduate degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.

Preferred Skills

• Knowledge of cloud platforms including AWS, Azure, or Google Cloud.

Key Skills

Education

Any graduate