Job Description

Responsibilities:

• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets
• Develop AI & Machine Learning solutions on cloud-based platforms.
• Partner with internal & external ecosystems to design and deliver AI & ML solutions.
• Explore emerging trends in AI & Machine learning and develop prototypes.
• Perform POCs with the presentation of outcomes and future improvements.
• Manage data ingestion processes, and labeling efforts, and monitor data quality to support your own machine-learning models.
• Continued education about the latest machine learning algorithms, techniques, and technologies.
• Data science team members are strongly encouraged to take courses, obtain professional certifications, and attend industry Stand-spaces.
• Stand-up MVPs for web-based internal tools and external customer-facing features.
• Develop APIs and/or additional endpoints as necessary to power your frontend features.
• Effective communication and teamwork skills.
• Support business teams by building new capabilities and participating in client meetings as a subject matter expert.

Desired Skills:

• 5 to 8 years of work experience in Data Science.
• Strong working experience in a variety of analytical techniques including multivariate/logistic regression models, cluster analysis, predictive modeling, pricing models, decision trees, or other advanced models like in Deep Learning.
• Hands-on experience with popular development frameworks like Scikit-learn/TensorFlow/PyTorch.
• Strong experience in developing AI & Machine Learning solutions on cloud platforms like GCP
• Good understanding of SQL query and visualization development with or without BI tools.
• Familiarity with data platforms like Snowflakes would be an added advantage.
• Familiarity with MLOPs (Machine Learning Operations) would be an added advantage.
• Familiarity with generative AI models to generate content, text, images, or videos.
• Familiarity with NLP model development is an advantage.