DNV is hiring a Machine Learning Engineer/Sr. Machine Learning Engineer (Remote) –...

Local Unit & Position Description

EVOLVE Intelligence accelerates the transition towards a carbon-free future through software and analytics.We are looking for a Machine Learning Engineer/Sr. Machine Learning Engineer to help us accomplish this mission.The Analytics & Data Science team in DNV – Energy Management's Technology group is a remote-first team. We offer more than just a job; we provide… a community where you can learn, grow, and thrive your way. Join a dynamic and diverse technology team that values relationships and the environment as much as results. Help us create software that empowers utility clean energy customers to combat climate change!

This is a remote position open to any location in the continental United States.

What You'll DoAs Machine Learning Engineer/Sr. Machine Learning Engineer, you will design, develop, and implement innovative machine learning solutions that advance how our utility partners steward clean energy programs. Your solutions will innovate key pathways to decarbonization through energy efficiency, demand response, storage, electric vehicles, and renewable energy technologies. You will solve a variety of problems using techniques such as time series forecasting, anomaly detection, signal processing, classification, probabilistic modeling, natural language processing, and more. Your role is "full stack", and you will own the entire machine learning life cycle - from ideation to production.

Collaborate with cross-functional teams, including data scientists, software developers, analytics engineers, and product managers, to translate business requirements into scalable software solutions
Leverage your creative problem-solving skills to design and develop efficient, accurate, and performant machine learning models and algorithms
Develop, implement, and optimize data pipelines for preprocessing, feature extraction, and transformation in machine learning workflows
Operationalize and deploy machine learning models into production environments, ensuring robustness, reliability, and scalability
Ensure the quality and robustness of production machine learning systems by monitoring key metrics, performing testing, debugging, and troubleshooting
Champion best practices for versioning, testing, and deployment of machine learning models
Write clean, efficient, maintainable code and actively engage with team members in code reviews
Brainstorm with other team members on how to continuously drive the product forward using machine learning, artificial intelligence, mathematical modeling, and classical statistics
Serve as a mentor and resource to other members of the team

Position Qualifications

What is Required

An undergraduate or advanced degree in a quantitative field
Proven professional experience as a Machine Learning Engineer
Deep understanding of machine learning concepts, workflows, and frameworks
Strong proficiency in SQL and Python - Spark and PySpark a major plus
Professional experience with machine learning frameworks such as PyTorch, Keras, and Scikit-learn
Knowledge of distributed computing and parallel processing frameworks (we use Apache Spark via the Databricks platform)
Familiarity with working in Azure to utilize tools and technologies such as Docker, Azure Machine Learning, and Azure DevOps
Experience with version control systems (e.g., Git) and familiarity with agile development practices
Excellent communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams
Experience working on an agile product team is a bonus
Someone who is eager to learn new things and is coachable
Most importantly, this team member should display a positive, team-oriented attitude to match our friendly and enthusiastic work environment!
Excellent written and verbal English communication skills
We conduct pre-employment drug and background screening
Immigration-related employment benefits, for example visa sponsorship, are not available for this position*What We Offer
Generous paid time off (vacation, sick days, company holidays, personal days)
Multiple Medical and Dental benefit plans to choose from, Vision benefits
Spending accounts – FSA, Dependent Care, Commuter Benefits, company-seeded HSA
Special programs – Employee Assistance Program, ID theft protection, and accident and critical illness options for you and your family
Employer-paid, therapist-led, virtual care services through Talkspace
Company provided life insurance, short-term, and long-term disability benefits
Tuition assistance
Flexible work schedule with hybrid/remote opportunities
Advancement opportunities
*Benefits may vary based on position, tenure, location, and employee electionHow We Do ItWe Care, We Dare, We Share

DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodations will be addressed confidentially.

DNV is proud to announce being named one of Houston's best places to work in the 2022 Houston Business Journal – Best Places to Work competition.

For more information

https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal-poster

DNV is looking for a Machine Learning Engineer/Sr. Machine Learning Engineer (Remote) –...