Bangalore, Karnataka, India Post Date: May 11, 2023 Full Time
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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.
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.