Machine Learning Engineer

Key Skills

Clustering, Data Classification, Deep Learning, DevOps, Docker, Effective communication skills, Flux, Git, Google Cloud Platform (GCP), Jenkins, Julia, Kubernetes-K8s, Looker, Machine learning techniques, NumPy, Pandas, PowerBI, Predictive Modeling, Python Programming, Scikit-learn, Tableau, TensorFlow

Job Description

We are looking for a highly skilled Machine Learning Engineer to join as a leader on our Product team. This person will collaborate closely with our Executive leadership team, data scientists, and software engineers.

Responsibilities

• Support the creation of our machine learning workflow processes, including data collection and preprocessing, model design and training, and deployment of models into production.
• Serve as the subject matter expert and the key driver on machine learning and its application to SaMD products.
• Work with product developers (tech regulatory, data scientists, engineers) on incorporating machine learning algorithms into development and data processing pipelines.
• Collaborate with cross-functional teams, including product managers and marketers, to understand business problems and develop comprehensive machine learning solutions.
• Continuously monitor the performance of machine learning implementations and identify opportunities for improvement.
• Stay current with the latest machine learning techniques and technologies to continuously improve the quality of our products and knowledge of our team.

Qualifications

• Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics), Masters degree preferred
• 3+ years of industry experience designing, developing, and deploying machine learning models includingclassification, clustering, prediction, deep learning, etc.
• Experience with cloud-based ecosystems (GCP preferred)
• Experience with Python and relevant libraries (NumPy, Pandas, Scikit-learn)
• Experience using common machine learning and deep learning libraries and techniques, including TensorFlow
• Experience with, or willingness to learn Julia/Flux
• Experience with Git in a team environment
• Experience with data visualization tools such as Looker, Tableau, or Power BI
• General knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
• Excellent verbal and written communication skills

Compensation and Benefits:

• Competitive Salary
• Health and wellness benefits
• 401k with company matching
• 20 paid days off plus holidays