Machine Learning Engineer

Turnberry Solutions is a consulting firm focused on digital modernization. As a Machine Learning Engineer, you will implement and validate machine learning algorithms, develop data pipelines, and contribute to proof of concept solutions to enhance digital experiences for clients.

Responsibilities:

• Implement, refine, and validate machine learning algorithms for products and applications
• Implement data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring
• Train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production
• Assist in development of proof of concept solutions and contribute to studies to support future product or application development
• Research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports
• Test and evaluate solutions
• Complete case studies, testing, and reporting

Requirements:

• Bachelor's degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience
• 1-3 years related experience after Bachelors
• Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models
• Strong programming and software development skills and familiarity with Python, Java or Scala
• Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker