Description

As a Senior Machine Learning Engineer, you will dive into vast data sets to uncover insights, develop and deploy innovative machine learning solutions, and collaborate with stakeholders to align on business needs, all while maintaining and optimizing models in production.

Requirements

• •Significant professional experience in data analytics and developing statistical or ML solutions
• •Fluency in Python and respect for software engineering principles
• •Use of Git for code versioning
• •Use of Docker and/or virtual environments for local development
• •Knowledge of SQL for data exploration
• •Comfort in explaining complex things in simple terms
• •Balance between solving initial problems and conducting research
• •Experience with Computer Vision models in production
• •Comfort with tools for orchestrating data pipelines and ML workflows
• •Hands-on experience with vision systems and/or robotics hardware
• •Familiarity with cloud services (Azure, AWS, GCP)
• •Knowledge of big data processing
• •Familiarity with MLOps and CI/CD principles
• •Degree in Computer Science, Data Science, Statistics, Mathematics, or related field or years of experience
• •3+ years of professional hands-on experience in data science or ML roles

Tasks

• •Explore opportunities in structured and unstructured data
• •Develop solutions using statistics and machine learning
• •Deploy machine learning solutions to production environments
• •Design and implement machine learning solutions
• •Create robust data pipelines and ML workflows in the cloud
• •Collect and curate training and validation datasets for computer vision
• •Monitor, analyze, and maintain ML models in production
• •Collaborate with stakeholders to understand business requirements

Tools & Technologies

Benefits