Description
We are seeking a Senior Machine Learning Engineer to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. You will collaborate with cross-functional teams to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms.
Responsibilities
- Architect, develop, and program integrated software solutions, especially in support of the development, deployment, and life cycle 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, and create visualizations of data properties and model performance.
- Establish and optimize scalable processes for large-scale data operations to drive ML product improvements.
- Engage with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.
- Collaborate with DevOps teams to integrate models into production systems and automate deployment processes.
- Validate, communicate, and monitor the delivery of customer requirements for AI/ML solutions.
- Participate in cutting-edge research in artificial intelligence and machine learning applications.
- Stay up-to-date with the latest advancements in machine learning and related technologies.
Education & Experience
- Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
Benefits No benefits mentioned.
Certifications AWS Certified Machine Learning Specialty