Description

You will develop and maintain AI-driven analytics solutions, focusing on recommendation engines, customer segmentation, and LLM-integrated tools.

Responsibilities

• Develop modular data pipelines and predictive models using Python and SQL.
• Analyze structured and unstructured datasets to derive actionable insights and patterns.
• Build and optimize AI-driven recommendation engines and personalization workflows.
• Create visualizations and dashboards using Power BI, seaborn, or matplotlib.
• Document code, experiments, and insights to ensure reproducibility and knowledge sharing.

Required Skills

• 5+ years of experience in Data Science or AI engineering.
• Strong proficiency in Python, SQL, pandas, and NumPy.
• Hands-on experience with scikit-learn for implementing classification, regression, and clustering algorithms.
• Proficiency in Power BI for data visualization and reporting.
• Familiarity with cloud platforms including AWS, Azure, or GCP.
• Experience with Git for version control and collaboration.

Preferred Skills

• Exposure to GenAI/NLP concepts, including transformers and LLMs.
• Experience with TensorFlow or Hugging Face libraries.

Key Skills

Education

Any Gradute