In This Role, Your Responsibilities Will Be:

1. Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
2. Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
3. Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.
4. Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
5. Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
6. Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
7. Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
8. Develop and implement best practices in data management, data modeling, code, and data quality assurance.
9. Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.
10. Actively participate and contribute to innovation activities like ideathons, hackathons.

Who You Are:

• You take initiatives and doesn’t wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge optimally. Clearly convey ideas and actively listen to others to complete assigned task as planned

For This Role, You Will Need:

• Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
• 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
• Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.
• Strong programming skills in Python is a must.
• Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.
• Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.
• Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.
• Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.