Overview
ABOUT THE POSITION
Are you passionate about harnessing the power of data to solve complex problems and drive innovation? At VHB, we are a team of dedicated professionals committed to making meaningful impacts through our work in transportation, environmental services, real estate, and more. As part of our mission to continually advance and apply cutting-edge technology, we are seeking a talented and driven Machine Learning Engineer to join our forward-thinking team.
In this role, you will have the unique opportunity to design, develop, and implement machine learning models that address critical challenges and optimize our service offerings. As a Machine Learning Engineer at VHB, you will collaborate with cross-functional teams of engineers, data scientists, software engineers, and industry experts to create intelligent solutions that enhance our projects and improve outcomes for communities nationwide.
If you are enthusiastic about machine learning, have a strong analytical mindset, and are excited to contribute to transformative projects, we invite you to join us at VHB and help shape the future of our industry through innovation and excellence.
Responsibilities:
Work with business owners, product managers, and other stakeholders to determine and refine objectives for AI, Machine Learning (ML), and analytic processing solutions to address business problems.
Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Build out data science and statistical models developed in R&D to scale as functioning and productive automated applications that handle large datasets and/or real-time data.
Design and develop prototypes for appropriate machine learning and artificial intelligence solutions, engaging with teams in proof-of-concept efforts.
Turn unstructured data into useful information through natural language processing methods and other related approaches.
Work with our software development team to ensure that algorithms generate accurate and interpretable user recommendations.
Run tests, perform evaluative statistical analysis, and interpret test results.
Optimize existing machine learning libraries and frameworks.
Deploy automated processes to monitor and report on model performance and take responsibility for corrective actions.
Provide technical support and guidance to other engineers and data scientists in AI and Machine learning methodologies.
Prepare complete and accurate documentation of machine learning processes.
Maintain currency with knowledge, skills, and developments in AI and machine learning.
Skills & Abilities:
Strong problem-solving skills with an emphasis on analytical product development in a business context, particularly with government-related data.
Excellent attention to detail and ability to maintain quality control for one’s own work or the work of others.
Excellent written and verbal communication skills for coordinating across teams and interacting with clients.
Ability to manage multiple projects efficiently and meet deadlines with time management and organizational skills.
Excellent communication skills and an effective technical writer with the ability to communicate complex data in a simple, actionable way.
Qualifications:
Bachelor’s degree in computer science, data science, statistics, analytics, or related quantitative and software development field.
MBA or PhD preferred (can be substituted for 2 years of experience)
10 years' experience in application development including machine learning engineer, data scientist, data analyst, or analytics engineer.
In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
Advanced proficiency with analytical software including Python and/or R, to manipulate and analyze data and to build analytical models.
Experience with ML Operations tools (e.g., PyTorch, TensorFlow, Harovod, etc.)
Experience with data engineering using SQL queries, Spark, and/or Python to extract and transform large volumes of data into a format suitable for analysis.
Knowledge of software design and experience developing (programming) and deploying analytical applications or processing systems.
Experience using cloud-based services and resources (e.g., AWS, Azure, Google Cloud) and distributed data and computing tools: Data Bricks, Python, MySQL, etc.
We are VHB! We’re an inspired and innovative team of engineers, scientists, planners, and designers who partner with clients in the transportation, real estate, institutional, and energy industries, as well as federal, state, and local governments. Our work helps improve mobility, enhance communities, and contribute to economic vitality. We do this while balancing development and infrastructure needs with stewardship of our environment.
Our people make us great! VHB provides a differentiating employee experience, which includes:
Diverse and inclusive culture of collaboration and innovation
Opportunity to work on complex, transformational projects
Community and social responsibility as sustainable stewards
Focus on learning, development, and career growth
Best-in-class benefits, including flexible, hybrid workplace
We are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast. We’re growing, and we hope you’ll join us!
VHB is a proud Affirmative Action and Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of diversity, equity, and inclusion—supported by deep-rooted core values, one of which is diversity. All individuals receive consideration for employment based on their qualifications without discrimination for race/ethnicity, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, pregnancy, marital status, or any other basis protected by law.
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