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    Machine Learning Engineer - Salt Lake City, United States - HDR

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    Description
    About Us

    At HDR, we specialize in engineering, architecture, environmental and construction services.

    While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that.

    We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists. That's why we believe diversity is our greatest strength. HDR is proud to be an equal opportunity workplace and an affirmative action employer.

    Watch Our Story:
    ' '

    We believe that the way we work can add meaning and value to the world. That ideas inspire positive change. That coloring outside the lines can illuminate fresh perspectives. And that small details yield important realizations. Above all, we believe that collaboration is the best way forward.

    Primary Responsibilities

    In the role of Machine Learning Engineer, we will count on you to:


    Support the development and deployment of AI tools, products, and systems to support the growth and success of the AI services within the Transportation Digital Delivery and Data Acquisition Program (DA&DD) in coordination with the AI Services Lead and the DA&DD Director.

    Support the development of the AI related marketing materials, including but not limited to project sheets, AI stack portfolio, pursuit processes, and qualifications.

    Work with cross-functional teams of AI, project delivery, engineering, and project management to help support Digital Delivery team's AI strategy into practical services, solutions, and products.

    Act as the subject matter expert in alignment with the Digital Delivery AI Services Lead to support the delivery of high-quality AI solutions for clients on time and on budget.

    Design, build, fine-tune, and maintain efficient, reusable, and reliable production-level ML models.

    Support development of reports, and presentations to provide concise and effective communications to key stakeholders on Transportation and Digital Delivery AI services.

    Apply state-of-the-art AI/ML technologies to solve complex engineering problems.
    Ensure the robustness of AI systems through effective CI/CD practices.

    Work with Azure cloud infrastructure to deploy and scale AI applications to support large active users of computer vision and large language model services.

    Monitor and update machine learning models in production environments.

    Stay current on AI trends and technologies, and continuously evaluate and recommend new solutions and approaches to enhance the DA&DD AI capabilities.

    Work in collaboration with the HDR's Information Technology Group (ITG) on identifying and determining computing infrastructure and deployment needs.

    Supporting the needs of HDR's AI Task Force around identifying AI policy governance and quality control needs for successful and safe implementations of AI applications and products.

    Keyword(s): Artificial Intelligence and Machine Learning, Deep Learning, Computer Vision, Natural Language Processing

    Required Qualifications

    Bachelor's degree in related field
    A minimum of 5 years related experience
    Efficient use of the internet and other electronic and hard copy media for research
    Strong Microsoft PowerPoint, Word, Project and Visio skills
    Expert Microsoft Access and Excel skills
    Strong analytical skills with the ability to compile and present summary level information
    Ability to obtain, cleanse, merge and analyze data from multiple sources
    Excellent interpersonal skills and strong relationship, organizational and follow-up skills
    Self-starter with proven track record of accomplishments
    An attitude and commitment to being an active participant of our employee-owned culture is a must

    Preferred Qualifications

    Master's degree in Computer Science, Engineering, or a related technical field.
    In-depth knowledge of AI science, particularly machine learning and deep learning methods.
    5+ years of experience in developing machine learning models and deep learning algorithms.
    Strong programming skills in Python, ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn).
    Experience with computer vision, Convolutional Neural Networks (CNNs), object detection, image segmentation, and 3D point cloud data processing.
    Experience in natural language processing and understanding large language models (such as GPTs, Llama, Gemini, etc.).
    Demonstrated ability in designing, developing, and deploying chatbots.
    Expertise in Azure cloud services, including Azure Machine Learning, Azure Functions, and Azure DevOps for CI/CD pipelines.
    Experience working with Docker, Kubernetes, and other containerization technologies.
    Experience with version control systems (e.g., Git) and CI/CD tools.
    Proven track record of delivering production-level code with a focus on scalability, maintainability, and security.
    Ability to interface with key project stakeholders, AI leaders, civil engineers, AI/ML engineers, and data scientists.
    Ability to translate and communicate technical concepts and complex AI solutions to the project stakeholders.
    Strong communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

    Excellent analytical and problem-solving skills, including ability to gather, organize and interpret data for process monitoring or business case development.

    Ability to collaborate, solve ambiguous problems with critical thinking, and think innovatively.

    Possess a strong combination of team player mentality, professional demeanor, exceptional interpersonal skills, exceptional listening skills, and a commitment to providing top-notch internal and external customer service while always acting with integrity and taking the ethical and responsible approach.

    Demonstrated ability to effectively work with a diverse range of individuals and consistently foster positive relationships by finding common ground and promoting collaboration.

    Knowledge of ArcGIS, SQL Server and/or Crystal Reports
    Experience in an A/E/C industry

    Why HDR


    At HDR, we know work isn't only about who you work for it's also about what you do and how you do it.

    Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions, and collaborate together to make great things possible.

    When you join HDR, we give you license to do the same. We help you take charge of your career, giving you multiple growth opportunities along the way.


    We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement.

    The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.)

    Colorado:
    $101,213 - $167,420;

    New York:
    $106,540 - $190,250; Washington: $101,213 - $175,030; California: $117,194 - $197,860; Montana: $95,866- $144,590


    Primary Location:
    Canada-Ontario-Toronto


    Other Locations:
    United States-Texas-Round Rock, United States-North Carolina-Charlotte, United States-Florida-Doral, United States-Wyoming-Cheyenne, United States-California-Long Beach, United States-Florida-Fort Lauderdale, United States-Pennsylvania-Bethlehem, United States-West Virginia-Weirton, United States-Oregon-Salem, United States-Texas-Fort Worth, United States-Montana-Missoula, United States-District of Columbia-Washington DC, United States-Texas-Houston, United States-California-Irvine, United States-Wisconsin-Madison, United States-Florida-Tallahassee, United States-Mississippi-Jackson area, United States-Nevada-Reno, United States-New York-Albany, United States-California-Folsom, United States-Oregon-Portland, United States-Montana-Bozeman, United States-Colorado-Durango, United States-Texas-Corpus Christi, United States-Nevada-Las Vegas, United States-Montana-Billings, United States-Texas-Dallas, United States-Iowa-Cedar Rapids, United States-Texas-Austin, United States-Louisiana-Metairie, United States-Virginia-Virginia Beach, United States-Massachusetts-Boston, United States-Colorado-Denver, United States-California-Santa Ana, United States-Missouri-St Louis, United States-Arizona-Tucson, United States-Arkansas-Little Rock, United States-Pennsylvania-Mechanicsburg, United States-Colorado-Colorado Springs, United States-Maryland-Fulton, United States-Arizona-Phoenix, United States-Kentucky-Louisville, United States-Georgia-Atlanta, United States-South Carolina-Greenville, United States-Illinois-Rosemont, United States-Tennessee-Knoxville, United States-California-Walnut Creek, United States-Tennessee-Memphis, United States-Louisiana-Baton Rouge, United States-Virginia-Richmond, United States-Missouri-Springfield, United States-Ohio-Cleveland, Canada-British Columbia-Vancouver, United States-Florida-Tampa, United States-Ohio-Columbus, United States-Kentucky-Lexington, United States-Ohio-Cincinnati, United States-South Dakota-Rapid City, United States-Missouri-Kansas City, United States-South Dakota-Sioux Falls, United States-Alabama-Mobile, United States-North Carolina-Wilmington, United States-Tennessee-Nashville, United States-New Jersey-Newark, United States-Kentucky-Paducah, United States-Florida-Pensacola, United States-New Mexico-Albuquerque, United States-New York-White Plains, United States-South Carolina-Rock Hill, United States-South Carolina-Charleston, United States-Virginia-Roanoke, United States-South Carolina-Columbia, Canada-Ontario-Richmond Hill, United States-Virginia-Vienna, United States-Florida-Orlando, United States-Alaska-Anchorage, United States-Florida-Miami Lakes, United States-Minnesota-Minneapolis, United States-Indiana-Indianapolis, United States-Pennsylvania-Pittsburgh, United States-Wyoming-Lander, United States-California-San Diego, United States-Michigan-Lansing, United States-Pennsylvania-Philadelphia, United States-Virginia-Glen Allen, United States-Iowa-Davenport, United States-California-Riverside, United States-Florida-Miami, United States-Nebraska-Omaha, United States-New Jersey-Pennington, United States-California-Sacramento, United States-Connecticut-Rocky Hill, United States-New York-New York, United States-Pennsylvania-King of Prussia, United States-Michigan-Ann Arbor, United States-Utah-Salt Lake City, Canada-Alberta-Calgary, United States-Michigan-Detroit, United States-North Dakota-Bismarck, United States-Idaho-Coeur d'Alene, United States-New York-Long Island, United States-North Dakota-Fargo, United States-New Hampshire-Manchester, United States-Florida-Jacksonville, United States-California-Los Angeles, United States-Wyoming-Gillette, United States-Idaho-Boise, United States-North Carolina-Raleigh, United States-Texas-San Antonio, United States-West Virginia-Charleston


    Industry:
    Transit


    Schedule:
    Full-time


    Employee Status:
    Regular


    BusinessClass:
    Surveying and Data Acquisition


    Job Posting:
    Mar 22, 2024

    At HDR, we are committed to the principles of employment equity.

    We are an Affirmative Action and Equal Opportunity Employer ). We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.

    #J-18808-Ljbffr


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