Data Scientist and ML Model Developer
3 days ago
Luxoft is seeking a skilled Data Scientist and ML Model Developer to join our team. This role involves creating artificial intelligence products using Machine Learning (ML) algorithms.
Job OverviewWe are looking for a highly experienced professional to develop and deploy ML models in Azure MLOps. The ideal candidate will have experience with Snowflake Warehouse, Event Driven Architecture (EDA), and Azure Data Factory (ADF) pipelines.
About the RoleThis position requires a minimum of 5 years of experience in relevant fields such as data science, machine learning, and software development. You will be responsible for setting up training and inference pipelines, model registry, and deployment in Azure MLOps.
Key Responsibilities:- Data Analysis and Preparation: Transform data from Snowflake Warehouse and Azure Data Factory
- ML Model Development: Create regression models (Linear and Logistic Regression, Decision Trees), classification models (Random Forest, SVM, Gradient Boost), and clustering techniques (KNN)
- ML Ops: Setup training & inference pipelines, model registry, and deployment in Azure MLOps
- Bachelor's degree in Computer Science, Mathematics, or related field
- At least 5 years of experience in data science, machine learning, and software development
- Proficiency in programming languages such as Python, R, or Julia
- Familiarity with cloud services, including Azure Data Factory and Snowflake Warehouse
- Experience with ITIL and Agile methodologies
- Competitive salary: $140,000 - $170,000 per year
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
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