Machine Learning Engineer

United States - Remote

NuvoLogic Consulting

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NuvoLogic Consulting is a management consulting company in the Northern Virginia area. We engage with public and private sector clients with a primary focus on financial services and mortgage finance. We help our clients in the areas of finance, accounting and operations to support CFO, budget, audit readiness, and risk management functions; business and data analytics to help management make insightful decisions; internal controls, compliance and governance to ensure processes are compliant with regulatory guidance; and process improvements to explore and implement efficient approaches.

NuvoLogic is a growing company and we are looking for individuals to grow with us. We are looking for consultants who not only have strong technical skills, but are well-rounded, analytical, detail oriented, inquisitive, problem solvers. We encourage you to share ideas and explore innovation, but also inspire you to implement those ideas and think big. We foster a collaborative and supportive environment where you can do your best work and think of your greatest ideas.

Job Description

NuvoLogic Consulting is seeking a Machine Learning Engineer to join our team. The Machine Learning Engineer will be responsible for developing, implementing, and maintaining machine learning models and algorithms. This role will involve working closely with cross-functional teams, including Data Scientists, Software Engineers, and Business Analysts, to design and build scalable machine learning solutions that drive data insights and business outcomes.

Responsibilities and Duties:

  • Collaborate with Data Scientists and Software Engineers to identify business problems and develop machine learning solutions.
  • Design, build, and deploy machine learning models and algorithms.
  • Conduct data preprocessing, feature engineering, and model tuning.
  • Implement scalable and efficient data pipelines for model training and evaluation.
  • Work with cloud computing platforms to deploy and monitor machine learning solutions.
  • Collaborate with stakeholders to interpret and communicate model outputs and recommendations.
  • Stay up-to-date with the latest advancements in machine learning and data engineering.
  • Document and maintain code, models, and processes.

Requirements

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 3+ years of experience as a Machine Learning Engineer or similar role.
  • Proficiency in programming languages commonly used in machine learning, such as Python or R.
  • Experience with machine learning libraries and frameworks.
  • Strong understanding of statistical modeling, feature engineering, and model evaluation techniques.
  • Experience with cloud computing platforms, such as AWS or Azure.
  • Experience with data preprocessing, data visualization, and data quality assurance
  • Excellent problem-solving and analytical skills.
  • Strong written and verbal communication skills.
  • Ability to work collaboratively in cross-functional teams.
  • Experience with big data technologies is a plus.

Preferred Qualifications:

  • Experience in the finance or mortgage finance industry.
  • Bachelor's or Advanced degree in Computer Science, Data Science, Statistics or related field.
  • Experience with deep learning models and algorithms.
  • Publication record in machine learning or related field.
  • Familiarity and hands-on experience with data sources from Internal Revenue Service, Securities and Exchange Commission, and Bureau Van Dijk
  • Familiarity and hands-on experience with the following technologies R Shiny, RStudio, Jupyter, and/or VSCode

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Remote or Hybrid Work
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Azure Big Data Computer Science Consulting Data Analytics Data pipelines Data quality Data visualization Deep Learning Engineering Feature engineering Finance Jupyter Machine Learning ML models Model training Pipelines Python R Statistical modeling Statistics

Perks/benefits: 401(k) matching Career development Health care Insurance

Regions: Remote/Anywhere North America
Country: United States
Job stats:  55  13  0

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