Senior Machine Learning Engineer

***Update: Moving forward and not limited to 2021, Nexient will be supporting fully remote and hybrid work models for all team members*** We’re happy to announce that as part of our efforts to embrace, adapt, and provide more flexibility to our team members—Nexient will be adopting a new set of work models. Whether it’s fully remote, hybrid, or full-time at the office—you now have the option to choose the work arrangement that best suits your needs and preferences. You are not locked into any selection and can make changes at any point if needed.
Don’t only dream about what’s next – come build it with us!
Nexient specializes in bringing a “Product Mindset” to our work, using small, nimble teams, Agile thinking and other techniques from product development to build great custom software people love to use.
And as America’s leading 100% US, 100% Agile software services partner, we’re building it here instead of sending tech jobs offshore.
People are noticing.
Our clients include some of America’s favorite brands in retail, healthcare, financial services and more – but also some very cool product companies you may not have heard of yet. We’re recognized as a Gartner Cool Vendor, HfS Hot Vendor and the only 100% US tech company in the World’s Top 100 Outsourcers. You might have read about us in The New York Times.
Nexient combines:
·       Silicon Valley innovation (through our Bay Area innovation hub, and network of startups and emerging technology partners) ·       Scalable, Midwest delivery (with 100+ Agile teams in high talent cities like Ann Arbor, Michigan)·       Onsite collaboration (with product managers and other key roles working face-to-face with client teams around the country)
Come build with us!


As a Nexient Senior Machine Learning Engineer, you'll lead an Agile team delivering machine learning applications and systems at scale. You'll lead technical design, development, and implementation of machine learning applications using existing and emerging technology platforms delivering business value to Nexient's clients. Working within an Agile environment, you’ll serve as a technical lead, helping guide machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and develop your technical knowledge and skills to keep Nexient at the cutting edge of technology.

What you’ll do in the role:

• Deliver production ML software models and components that solve real-world business problems, while working in collaboration with product and application teams
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Advocate for software and machine learning engineering best practices
• Function as a technical or project lead and while mentoring junior engineering talent

Qualifications:

• 5+ years of experience building, scaling, and optimizing enterprise-grade Machine Learning systems, using frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, and Spark, to perform a variety of predictive tasks on both structured and unstructured data
• 3+ years of experience designing and building data-intensive, production-ready solutions using distributed computing frameworks such as Spark
• 3+ years of experience developing and deploying Machine Learning solutions in a public cloud environment (AWS, Azure, or Google Cloud).
• Mastery of data wrangling in rational databases using SQL
• Significant experience architecting cutting-edge MLOps systems in enterprise environments
• Knowledge of object-oriented programming design best practices
• Professional services experience
• Cloud certification preferred

Benefits & Perks:
Company sponsored health, dental, vision insurance and flexible spending account (FSA) for employees and their families including domestic partners
Paid Vacation Time and company holidays
401K plan
Lunch & Learn
Passionate, collaborative and awesome co-workers
World class training and career mentorship

Nexient is an inclusive equal opportunity employer. At Nexient, your uniqueness makes us better. Your uniqueness is why you are valued, you are heard, you add to our culture, and you belong. Diversity & Inclusion is hard coded into our DNA, and at the core of everything we do. Together, not separately, we strive to become even more diverse to help fuel our innovation and connect us closer with the clients and communities we serve.