[Remote] AI/ML Data Engineer, (Consultant, Data & Analytics)

Note: The job is a remote job and is open to candidates in USA. Fearless is hiring an AI/ML Data Engineer to build and operate production-grade AI and machine learning capabilities for a federal agency’s enterprise data modernization initiative. The role develops reusable AI solutions, automates model lifecycle workflows, integrates AI/ML with shared data and governance services, and supports responsible AI practices and customer enablement.

Responsibilities

• 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
• Collaborates with cross functional teams
• Earn the trust of your customer and teammates by delivering world class services
• Be reliable completing assigned objectives on time
• Alert your teammates and supervisor immediately when you think a deliverable is at risk
• Gather intelligence and listen to what your client, other people within the customer’s organization and other contractors say about your project, and report back to your Fearless teammates and supervisor (whether it’s good, bad or just informational)
• Deliver expected outcomes relative to data that enable smarter, faster, and more informed customer decisions
• Offer and implement innovative solutions that introduce advanced analytics, machine learning, and emerging technologies for greater data accuracy and insight
• Serve as a trusted advisor in your area of expertise

Skills

• 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
• 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
• Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions
• Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole
• Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks
• Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery
• Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations
• Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making
• Environmental Awareness: Maintains awareness of external dynamics, power structures within client environments as well as regulatory trends and contract requirements that influence service delivery
• Practical Application: You can complete tasks in required competency/skill-based areas as requested. Help from an expert may be necessary from time to time, but you can usually perform the skill independently
• 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

Benefits

• This is a fully remote role.
• Being valued as a whole person—not just a job title
• Get matched with work that plays to your strengths and passions
• Are supported by coaches, not micromanagers
• Have the autonomy and clarity to make decisions and drive impact
• Join a community that celebrates equity, curiosity, and innovation
• Flexible, family-friendly environment
• For full-time team members, starting day one: flexible, life-friendly schedules
• For full-time team members, starting day one: 100% coverage for the medical HSA plan + HSA contributions
• For full-time team members, starting day one: dental and vision covered 100% for you and your dependents
• For full-time team members, starting day one: competitive premiums for HMO/PPO and dependent coverage
• For full-time team members, starting day one: 401(k) with 4% match and immediate vesting
• For full-time team members, starting day one: paid parental leave and 12 weeks paid FMLA
• For full-time team members, starting day one: generous PTO, 11 Federal Holidays, a Birthday Holiday, and Sick Leave
• For full-time team members, starting day one: up to 15 days for Jury Duty and Bereavement Leave
• For full-time team members, starting day one: education, wellness, and tech allowances
• For full-time team members, starting day one: referral bonus of $6K–$12K for each successful referral
• For full-time team members, starting day one: pet insurance and discount plans
• For full-time team members, starting day one: Employee Assistance Program (EAP)
• For full-time team members, starting day one: legal support, life insurance, and disability coverage
• For full-time team members, starting day one: performance-based bonuses rewarding shared company success and individual contributions
• Eligible for a discretionary bonus based on individual and company performance criteria

Company Overview