Acquire deep understanding of the business problems and translate them into appropriate business solutions
Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google CloudPlatform (GCP).
Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, anomaly detection, optimization, LLM, and more.
Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.
Requirements
Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.
2+ years of experience in Google cloud platform with solutions designed and implemented at production scale
2+ Experience working with for scheduling and orchestration of data pipelines
Expertise in SQL for data querying, manipulation, and database interaction.
Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
Experience with containerization (e.g., Docker), constructing REST APIs using frameworks like Flask or FastAPI,, and adherence to best software development practices (e.g., version control, testing).
Excellent oral, written, and interpersonal communication skills.
Benefits
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
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