Senior Associate, AI & GenAI Data Scientist

Responsibilities

• Designing and implementing AI systems to transform raw data into actionable insights
• Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Utilizing programming languages such as Python and C++ to build robust data models
• Managing data pipelines and confirming data quality and integration across platforms
• Applying machine learning libraries like Tensor Flow and Scikit-Learn to enhance model performance
• Conducting complex data analysis to inform strategic decision-making
• Leveraging natural language processing and text analytics for innovative AI applications
• Building and maintaining data infrastructure to support AI-driven automation
• Mentoring junior team members and fostering a collaborative work environment

• At least a Bachelor's degree
• At least 2 years of experience
• Preference for fields of study:
  Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
• Certifications aligned to data engineering, machine learning, and cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake)
• Proficiency in AI implementation and machine learning libraries
• Utilizing Python for complex data analysis and modeling
• Excelling in neural network design and reinforcement learning agents
• Applying natural language processing techniques for text analytics
• Leveraging Tensor Flow and Scikit-Learn for deep learning projects

• AI systems design
• machine learning solutions
• data modeling
• data pipeline management
• data quality assurance
• complex data analysis
• neural network design
• reinforcement learning
• natural language processing
• text analytics

• collaboration
• mentoring
• communication