Computer Vision AI/ML Engineer

Jupyter Seaborn Big Data Dashboard DevSecOps Management Automation Data Science Communication Data Cleansing Version Control Problem Solving Data Governance Machine Learning Data Engineering Data Visualization Workflow Management Amazon Web Services Predictive Modeling Feature Engineering Artificial Intelligence Exploratory Data Analysis SQL (Programming Language) Matplotlib (Python Package) Python (Programming Language) Ethical Standards And Conduct, * Assist in developing AI/ML models for infrastructure analysis.

• Support data cleaning and preprocessing tasks.
• Help create dashboards and visualizations for leadership.
• Participate in automation of workflows using scripts.
• Conduct exploratory data analysis under supervision.
• Document model development steps and maintain code repositories.
• Assist in integrating models into cloud environments.
• Support feature engineering for predictive models.
• Collaborate on wargaming and simulation projects.
• Prepare reports summarizing analysis results., Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Related Jobs AI/ML Practice Architect TEKsystems Chicago, IL*Remote Sales CI/CD DevOps CrewAI Finance FastAPI AutoGen Coaching Taxonomy PineCone Weaviate Templates Langgraph Vertex AI Operations Leadership Consulting Automation Governance TypeScript Innovation Kubernetes Agentic AI Case Study Reliability Red Teaming Azure OpenAI Adaptability Quality Gate Cloud Design Communication Observability Accountability Systems Design Sales Strategy Data Pipelines Risk Mitigation Version Control Microsoft Azure Semantic Search Knowledge Graph Vector Database Customer Service Managed Services Machine Learning Product Security Containerization Data Engineering Self Development Docker (Software) Incident Response Influencing Skills Business Valuation Workflow Management Amazon Web Services Multi-Agent Systems Context Engineering Software Engineering Technical Leadership Relationship Building Solution Architecture Business Intelligence Model Risk Management Technology Strategies Experimental Learning Full Stack Development Dealing With Ambiguity Django (Web Framework) Reference Architecture Technical Requirements Artificial Intelligence Executive Presentations Business Transformation C (Programming Language) Requirements Elicitation Go (Programming Language) Java (Programming Language) Rust (Programming Language) Node.js (Javascript Library) Hugging Face (NLP Framework) Python (Programming Language) Influencing Without Authority Continuous Improvement Process Systems Development Life Cycle Key Performance Indicators (KPIs) JavaScript (Programming Language) Generative Artificial Intelligence MLOps (Machine Learning Operations) Artificial Intelligence Infrastructure Application Programming Interface (API) +0

Google IT Automation with Python

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• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
• Bachelor's degree in Data Science or STEM field.
• Experience with Python programming

What Would Be Nice To Have:

• Experience with Jupyter notebooks.
• Understanding of machine learning fundamentals.
• Ability to work with structured datasets.
• Familiarity with data visualization tools.
• Strong analytical and problem-solving skills.
• Willingness to learn cloud technologies.
• Good communication and documentation skills.
• Ability to follow coding best practices.
• Interest in AI/ML applications for DoD.
• Exposure to cloud platforms like AWS or Azure.
• Knowledge of SQL for data manipulation.
• Familiarity with data engineering concepts.
• Experience with visualization libraries (Matplotlib, Seaborn).
• Understanding of DevSecOps principles.
• Exposure to big data tools like Spark.
• Interest in predictive modeling and optimization.
• Experience with version control tools like Git.
• Knowledge of DoD data governance standards.

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.