Machine Learning Engineer

Machine Learning Engineer

Hybrid Remote | Plano, Texas | Must be eligible to work in the U.S. without Sponsorship

Our client s Labs team is looking for a Machine Learning Engineer who will use machine learning and statistical techniques to help us create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced Machine Learning techniques, would love to work with voice and text, are deeply technical, highly innovative and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.

Responsibilities:

• Translate complex concepts from white papers into practical and efficient code implementations

• Write clean, maintainable code while complying with coding standards

• Share adopted architecture patterns or new technologies with the rest of teams

• Contribute to ML system design through writing and reviewing RFCs

• Actively participate in interview panels for more junior MLEs

• Regularly serve as a reviewer on merge requests

• Catch necessary unit/integration tests for other's code contributions as part of code review

• Execute full modeling life cycle including data cleansing, feature creation and iterative model selection

• Build scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation

• Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods

• Work in a fast-paced Agile Scrum environment to assist in prototyping, designing, and implementing predictive models and algorithms to create real world solutions

• Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products

Qualifications:

• 3+ years of hands-on experience in Machine Learning in a corporate environment

• Experience programming in Python

• Experience working with Tensorflow or PyTorch

• Experience with NLP

• Familiar with algorithm design and complexity analysis

• Experience implementing solutions in a cloud environment (AWS preferred)

• Experience in designing and implementing Machine Learning pipelines in production environments is a plus

• Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions in a fast-paced environment

• Problem-solving skills with the ability to identify challenges, develop creative solutions, and implement effective strategies

• Proven ability to learn and apply new technologies, programming practices, patterns, and methods?

• Experience collaborating effectively with cross-functional teams, including developers, designers, and product owners

• Experience taking ownership of assigned projects and tasks, proactively driving them to completion while ensuring accountability for quality and deadlines.

• Results-driven with a strong track record of setting goals, executing strategies, and delivering measurable outcomes