Description

You will design and deploy generative AI and machine learning solutions to solve complex business problems.

Responsibilities

• Identify GenAI use cases across business scenarios and architect technical solutions.
• Build and validate machine learning models using appropriate techniques considering data limitations and business needs.
• Translate business requirements into analytical questions and present model outcomes to non-technical stakeholders.
• Collaborate with Data Engineering, IT, and data governance teams to deploy solutions and ensure regulatory compliance.
• Manipulate structured and unstructured data to enable analytical solutions.

Required Skills

• 10 to 12 years of relevant experience, including 6+ years in data science, machine learning, or quantitative analytics.
• Master’s degree in Computer Science, Statistics, Mathematics, Operational Research, or Data Science.
• Expertise in building statistical, machine learning, and advanced analytics models.
• Experience with Regression (Multiple, Logistic), Classification (Decision Tree, Random Forest, XGBoost), and Time series Forecasting (ARIMA).
• Proficiency in NLP, Deep Learning, Graph Analytics, and Segmentation.
• Hands-on experience with Python, R, SQL, and Data Mining.
• Knowledge of GenAI technologies, Prompt Engineering, and RAG.
• Experience with ML libraries and data frameworks like Hadoop.
• Experience using business intelligence tools such as Tableau.

Key Skills

Education

Any Graduate