Job Summary:
We are seeking a highly skilled and driven Data Scientist to join our team. The ideal candidate will possess strong data analytics capabilities with hands-on experience in SQL, Python, Power BI, and cloud computing (AWS). The role involves model training and deployment, as well as the application of modern LLM techniques such as prompt engineering and Retrieval-Augmented Generation (RAG) to drive business and product insights.
Key Responsibilities:
- Analyze large-scale data using SQL and Python to derive actionable insights.
- Design and implement dashboards using Power BI for real-time monitoring and decision-making.
- Build, train, and deploy machine learning models to improve business operations and project outcomes.
- Collaborate with cross-functional teams to implement AI-powered solutions including RAG pipelines and prompt engineering for LLMs.
- Work on AWS platform to manage data workflows and deploy scalable models.
- Contribute to high-quality supervised fine-tuning data collection for LLMs.
- Communicate complex analyses and findings clearly to both technical and non-technical stakeholders.
Requirements:
- Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Analytics, Computer Science).
- Proficient in SQL, Python, Power BI, AWS, Model Training, Model Deployment, RAG, Prompt Engineering
- At least 3 years of relevant experience in data visualization tools such as Power BI or Tableau.
- Hands-on experience with AWS services and/or Microsoft Azure.
- Strong foundation in ML model training and deployment processes.
- Experience with large language models (LLMs), prompt engineering, and RAG applications.
- Strong communication and project management skills.