AIML Ops Data Scientist – Jr.

Job Family:

Travel Required:

Clearance Required:

What You Will Do:

• Provide data science artificial intelligence (AI) / machine learning (ML) and analytics support to Department of State clients.

• Identify and address client needs build client relationships and drive initiatives forward.

• Focus on a single priority project or drive multiple concurrent projects forward.

• Collaborate with other data scientists and adjacent roles.

• Wrangle cleanse and analyze data using Python.

• Develop evaluate monitor and maintain AI/ML predictive models and Natural Language Processing models using Python.

• Develop advanced data visualizations and dashboards using Power BI or Tableau using best practices.

• Perform data science in an Azure environment.

• Leverage data science platforms such as Databricks.

• Work with Lange Language Models.

• Containerize ML models using tools such as Docker and help manage deployments on OpenShift.

• Write technical process flows diagrams and model documentation.

• Present products and findings to clients and answer questions about methods and results.

• Stay abreast of the latest advancements in AI/ML methods and technologies and apply them as appropriate.

• Ensure AI/ML deployments adhere to commercial and public sector guidelines policies and standards delivering responsible use of AI.

• Develop trusted relationships with clients at all levels of the organization to obtain a more complete perspective and understanding of our clients mission challenges and goals to deliver tailored solutions and drive innovation in AI/ML and data science.

• Support business development efforts (e.g. responding to RFPs/RFIs developing white papers creating pitch decks and capability briefings etc.).

• Support internal firm initiatives.

• Continue to develop professionally and expand skills related to data science and consulting.

What You Will Need:

• Active SECRET (or higher) security clearance.

• Bachelors degree in a relevant technical field.

• Solid understanding of various supervised and unsupervised ML methods and techniques.

• Proficiency in wrangling data and developing AI/ML models using Python.

• Experience utilizing Large Language Models.

• Understanding of Natural Language Processing.

• Understanding of ML model containerization such as with Docker.

• Understanding ofDevSecOps principles.

• Ability to learn new technical skills.

• Ability to operate independently or collaboratively in small teams.

• Strong communication and presentation skills for both technical and non-technical audiences.

• Ability to understand client mission business processes and data nuances and adapt data science solutions accordingly.

• Ability to think strategically and drive innovation.

• Ability to operate successfully on remote hybrid or on-site projects in the DC metro area.

What Would Be Nice To Have:

• Masters degree in a relevant technical field.

• ONE (1) or more years of relevant professional experience in AI/ML and data science.

• Experience developing data science solutions oncloud platforms(e.g. AWS Azure GCP).

• Experience utilizing the Databricks platform to conduct data science.

• Proficiency in developing data visualizations and dashboards using Power BI or Tableau applying best practices.

• Proficiency utilizing SQL to query and wrangle data.

• Experience supportingDevSecOps including integrating security into CI/CD workflows for AI/ML models.

• Experience withDockerfor containerizing ML models and managing container lifecycles including building Docker images.

• Experience withJenkinsfor building and automating CI/CD pipelines.

• Experience utilizing GitHubfor version control branching strategies and CI/CD pipeline integration.

• Experience inOpenShiftfor deploying and managing containerized applications in a Kubernetes-based environment.

• Experience with deploying AI/ML models oncloud platforms(e.g. AWS Azure GCP) and hybrid cloud deployments including cloud security (e.g. Managed Identities).

• Knowledge of Infrastructure as Code.

• Knowledge of Function Apps.

• Experience working with Virtual Machines and configuring them to be scalable Azure Blob Storage working with Desired State Configurations.

• Knowledge PowerShell and command-line scripting.

• Experience deployingML models in production environments with model versioning and rollback strategies.

• Familiarity withML model serving frameworkslike MLflow Seldon or TensorFlow Serving.

• Experience withinfrastructure as code (IaC)tools such as Terraform or Ansible.

• Familiarity withLinux-based systemsand shell scripting.

• Knowledge ofnetwork security including firewalls VPNs and secure communication protocols.

• Experience withmonitoring and logging tools(e.g. Prometheus Grafana ELK stack).

• Experience withsecurity compliance standards(e.g. NIST ISO 27001 SOC 2).

• Exposure toautomated testing frameworksfor infrastructure and security validation.

• Understanding ofdata privacy regulations(e.g. GDPR HIPAA) as they relate to ML deployments.

• Understanding of Agile principles and methodology.

• Knowledge of Department of State Bureau of Consular Affairs.

What We Offer:

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

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account Health Care & Dependent Care Flexible Spending Accounts

• Transit and Parking Commuter Benefits

• Short-Term & Long-Term Disability

• Tuition Reimbursement Personal Development Certifications & Learning Opportunities

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• annual membership

• Employee Assistance Program

• Supplemental Benefits via Corestream (Critical Care Hospital Indemnity Accident Insurance Legal Assistance and ID theft protection etc.)

• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity EmployerProtected 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.

If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants dealings with unauthorized third parties.

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.