Who are we? 
We’re Dice, eFinancialCareers and ClearanceJobs, services of DHI Group, Inc. — where we're connecting futures now. We help connect professionals with the careers they want and companies with the talent they need, and we achieve this by providing online access to relevant and meaningful jobs, candidates, and insights within each of the communities we serve. 

Why work with us?
We provide opportunities for you to contribute to our success, within a collaborative team where your opinion matters!
We challenge you to do exciting work while helping you grow your career!
We offer competitive pay, benefits and programs for you and your family to live healthy and secure!
We host social events for you to connect with others across our company and markets!
We serve the communities where we're located, and the causes important to you!

What is this opportunity?
Machine Learning Engineer

Responsibilities

• Work with our engineering and product teams, translating their requirements and applying the latest machine learning techniques to solve real business problems, improve our platform, and develop new capabilities.
• Design, build, and train custom models and evaluate model performance.
• Help the team deploy models to production, learn from customer feedback, and make frequent model improvements.
• Contribute to the overall architecture and implementation of our ML infrastructure, data pipelines, inference engine(s), APIs, and products.

What are we requiring for this role?

Required Knowledge, Skills, Education and/or Experience

• 5+ years of hands-on experience working with machine learning and other statistical techniques
• A Masters or Ph.D in Machine Learning or related field or 10+ years professional programming experience
• Intermediate to advanced skills in Python, including experience with packages such as scikit-learn

Preferred

• Experience in data engineering and architecture and in applying machine learning for global-scale applications
• A passion for applying latest technologies into the development of innovative features and products 
• Experience with AWS tools such as SageMaker and developing ML models in Jupyter Notebooks
• Experience with NLP, Pytorch, Keras, fast.ai
• A collaborative attitude and demonstrated team-working ability and experience working in an Agile environment
• Ability to work with limited supervision within a globally-distributed team

How do you apply?
Click here to provide your resume or curriculum vitae and answer a few questions—which will only take you a few minutes!