Senior Machine Learning Engineer - AI Applications
Core
Design, develop, and implement cutting-edge machine learning models to solve complex challenges and enhance business processes by transforming data into actionable insights.
Role type
Senior Machine Learning Engineer (AI Applications)
Builds
Integrated software solutions, robust data pipelines, monitoring systems, and scalable ML processes for large-scale data operations.
Domain
Artificial Intelligence, Machine Learning, Big Data, Cloud Computing
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Python, C++, Java, Algorithms, Data Science, Software Engineering, Natural Language Processing, Statistical Methods
Preferred skills
AWS Certified Machine Learning Specialty
Technologies
Amazon Web Services, Apache Spark, Microsoft Azure, PyTorch, TensorFlow, Scikit-learn
Responsibilities
Architect and develop integrated software solutions for the lifecycle of machine learning models; build and maintain robust data pipelines and monitoring systems in distributed computing environments; define collection protocols, analyze data sources, develop, train, and evaluate models; establish and optimize scalable processes for large-scale data operations; collaborate with DevOps teams to integrate models into production systems; participate in cutting-edge research in AI and ML applications.
Seniority
Senior, hands-on IC
