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Build and deploy production-grade AI/ML capabilities using Azure and Databricks to support enterprise data modernization. Implement MLOps practices and ensure AI solutions comply with safety, privacy, and governance standards.
AI/ML Engineer (Consultant, Data & Analytics)
We are seeking an AI/ML Engineer as part of our Consultant, Data & Analytics career path to build and operate production-grade AI and machine learning capabilities for a large federal agency's enterprise data modernization initiative. This role supports a cloud-native data platform that enables secure, scalable, and data-driven decision-making across the agency through platform engineering, data governance, and AI/ML enablement. Rather than supporting a single application, this work builds the shared technology foundation that delivers reusable AI solutions, model monitoring, and responsible AI practices to customers across the enterprise. This is a fully remote role.
At Fearless, the consultant is responsible for leveraging data to answer business questions, develop algorithms and models, and build scalable infrastructure for managing and processing data. This role will possess and/or develop the skills to be able to span the domains of data analysts, engineers, and scientists at a practical application level of proficiency. This Consultant role will work on projects that allow them to design solutions that support decision-making, optimize operations, and enable data-driven innovation.
Your Responsibilities in this Role:
● Build and deploy AI/ML capabilities using Azure Machine Learning, Azure AI Services, and Databricks to productionize models across the enterprise data platform.
● Implement MLOps practices to automate model training, validation, deployment, and monitoring workflows.
● Develop reusable AI solution patterns and templates that enable predictive modeling, natural language processing, and generative AI use cases.
● Integrate AI/ML capabilities with shared data engineering, platform, and governance services to ensure scalable, reusable enterprise solutions.
● Implement model monitoring, guardrails, and explainability features to ensure AI solutions comply with privacy, safety, fairness, and Trustworthy AI requirements.
● Support AI pilot initiatives, customer onboarding, and enablement by providing guidance on AI solution design, model deployment, and responsible AI practices.
● Coordinate with platform engineering teams to ensure AI solutions leverage shared infrastructure and comply with enterprise governance standards.
● Collaborate with engineers, data scientists, governance teams, and business stakeholders to identify AI/ML opportunities, support pilot implementations, and deliver production-ready AI solutions.
The Impact You Will Create in this Role:
Fearless Impact:
Fearless Customer Impact:
PROJECT SKILL AND EXPERIENCE REQUIREMENTS
● Minimum of 4 years of experience in AI/ML engineering, data science, or related roles.
● Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or related field, or equivalent work experience.
● Ability to obtain and maintain Public Trust clearance.
● Proven experience building and deploying AI/ML models in production environments using Python and cloud-native tools.
● Hands-on experience with Azure Machine Learning, Azure AI Services, or similar cloud AI platforms.
● Experience developing and deploying AI/ML solutions using Databricks or comparable cloud-native data platforms.
● Experience implementing MLOps practices, including model training pipelines, model registry, and automated deployment workflows.
● Demonstrated experience with natural language processing, generative AI, or predictive modeling techniques.
● Experience collaborating with cross-functional engineering, data, and business teams to translate AI/ML use cases into production-ready solutions.
Preferred Experience
● Experience supporting federal government, healthcare, or other highly regulated environments with security, privacy, compliance, or responsible AI requirements.
● Experience implementing enterprise AI/ML solutions for predictive modeling, natural language processing (NLP), generative AI, clinical decision support, risk prediction, or operational analytics.
● Experience deploying production AI/ML solutions using MLOps and responsible AI practices, including model monitoring, guardrails, explainability, and governance.
Fearless Skills and Competencies
Required Level of Proficiency:
Physical Requirements:
Life at Fearless
We’re a digital integration consultancy on a mission to build a better tomorrow. At Fearless, we combine technology, people, and organizational development to solve meaningful problems. Through iterative development, we deliver smart, user-friendly solutions that make tech work better—for everyone.
But great tech is just part of the story. What really makes us Fearless is our Purple Culture.
What Makes Us Purple?
Being Purple means you:
We believe in flexibility, growth, and balance. Our benefits and culture are designed to support you in doing your best work—while making space for what matters to you outside of it.
We’re proud to be an equal opportunity employer. At Fearless, we’re building a workplace that welcomes and respects everyone—across race, gender, age, religion, identity, background, and ability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Compensation at Fearless
Fearless is committed to providing a competitive compensation package that will meet your current and future needs. Our philosophy is aimed at rewarding team member contributions, supporting long-term financial growth and security, and overall well-being.
We believe in paying people fairly, so we've established a compensation model aimed to ensure everyone at Fearless — regardless of race, ethnicity, gender, sexual orientation, disability, religion, age, nationality, or willingness/ability to negotiate — is consistently paid fairly based on alignment to the needs and requirements of the role.
The salary range for this position is:
Minimum Salary: $96,132
Salary Midpoint: $124,971
Maximum Salary: $162,462
Hiring Range for Role: $96,132 - $133,000
*This position is eligible for a discretionary bonus based on individual and company performance criteria.
Benefits at Fearless
At Fearless, we take care of our team—because when you're supported, you can do your best work. We offer a flexible, family-friendly environment with benefits designed to support your health, growth, and life outside of work.
For Full-Time Team Members (Starting Day One):
Reasonable Accommodations
Fearless is committed to providing reasonable accommodations for applicants and candidates with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please contact the Human Resources Department at hr@fearless.tech.
So, What’s Next?
We’ve refined our hiring approach to make sure every team member is a great fit for Fearless—and that we’re a great fit for you, too. If there’s alignment, we’ll reach out to kick off the interview process. Depending on the role or project, your experience may vary slightly, but it typically includes:
1. Introductory Interview
You'll connect with a recruiter to:
2. Technical Assessment
We'll invite you to complete a role-specific assessment to see your skills in action. This helps us keep our hiring process fair and consistent. You can learn more about what to expect here.
3. Skills + Business Fit Interview
This is where we dig deeper to:
Some roles may also include customer interviews based on specific project requirements in addition to background check and security clearance requirements.
Where You Can Build with Fearless
At Fearless, we strive to build a powerful and diverse team. We are currently licensed and set up to hire talented individuals residing in the following 15 states:
Alabama, California, Delaware, District of Columbia, Florida, Georgia, Maryland, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, and Virginia.
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