Role Description At Fearless, this Artificial Intelligence & Machine Learning Engineer (Senior Consultant) collaborates with cross-functional teams to align the technical vision, implementation, and quality of software systems across development, reliability, testing, and operations. This role will possess the skills to bridge business objectives with technical execution across software development, infrastructure, security, and testing at an advanced application-level of proficiency. The Sr. Consultant role will work on projects to ensure scalable, secure, and reliable solutions, while mentoring engineers, fostering collaboration, and aligning stakeholders with product and project goals. The Impact You Will Create: - Deliver expected outcomes relative to high-quality code and maintainable systems. - Offer and implement innovative solutions that include engineering best practices through new tools, frameworks, and methodologies. - Lead and align stakeholders with product and project goals that advance customer satisfaction as well as Fearless’ objectives, strategy, and mission. - Serve as a trusted advisor in your area of expertise. Fearless Impact: - Fosters collaboration with cross-functional teams by taking the initiative and driving conversations. - Coach, mentor, and develop peers that elevate team capability and technical expertise using clear and persuasive communication of engineering solutions to both technical and non-technical audiences. - Earn the trust of your customers and teammates by delivering world-class services. - Drive accountability and delivery by ensuring project objectives are not only met on time but aligned with client priorities and Fearless standards of excellence. - Take ownership of risk management by monitoring deliverables across the team, identifying issues early, and coaching teammates on mitigation strategies while keeping leadership informed. - Shape client engagement and intelligence-gathering efforts by actively cultivating relationships with stakeholders, synthesizing insights across the client organization and partner ecosystem, and providing Fearless leaders with actionable recommendations that inform strategy and strengthen delivery outcomes. Your Responsibilities in This Role: - Design, implement, and support AI-driven solutions for high-priority federal civilian government initiatives, focused on improving data accessibility, analysis, and policy outcomes. - Develop and configure AI agents using Retrieval-Augmented Generation (RAG) architectures to enable accurate, scalable, and explainable AI capabilities. - Fine-tune and optimize AI/ML models, with preference for experience leveraging RAFT or similar advanced fine-tuning techniques. - Build, maintain, and optimize large-scale data pipelines and data processing systems using Go, ensuring high performance, reliability, and scalability in data-intensive environments. - Collaborate with cross-functional teams to manage and process massive datasets that support analytics, AI models, and downstream applications. - Serve as a technical bridge between AI capabilities and stakeholder needs by translating complex technical concepts into clear, actionable solutions for non-technical and policy-focused audiences. - Partner with government stakeholders to understand mission goals and guide the practical application of AI and data solutions. - Leverage cloud-based platforms such as Databricks and/or AWS to support data engineering, model training, and deployment workflows. - Support ML lifecycle management and CI/CD processes for models, including experiment tracking and versioning using tools such as MLflow. Qualifications - Three (3) or more years of related experience. - Ability to obtain and maintain a public trust clearance. - AI/ML engineering with experience implementing Retrieval-Augmented Generation (RAG) and AI agents. - Model fine-tuning expertise (e.g., RAFT or comparable techniques). - Strong programming skills in Python and Go. - Large-scale data pipeline design and high-performance data processing. - Experience working with massive datasets in production environments. - Cloud platforms: Databricks and/or AWS. - ML lifecycle management and CI/CD using tools such as MLflow. - Ability to translate complex AI and data concepts into actionable solutions for non-technical stakeholders. Requirements - 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. - Managing Priorities & Client Alignment: Skillfully negotiates and manages conflicting priorities to strategically align decisions, enhancing service delivery and client satisfaction. Benefits - Flexible, life-friendly schedules. - 100% coverage for our medical HSA plan + HSA contributions. - Dental & vision covered 100% for you and your dependents. - Competitive premiums for HMO/PPO and dependent coverage. - 401(k) with 4% match & immediate vesting. - Paid Parental Leave and 12 weeks paid FMLA. - Generous PTO, 11 Federal Holidays, a Birthday Holiday, and Sick Leave. - Up to 15 days for Jury Duty and Bereavement Leave. - Education, wellness, and tech allowances. - Referral bonus: $6K–$12K for each successful referral. - Pet insurance & discount plans. - Employee Assistance Program (EAP). - Legal support, life insurance, disability coverage.

• Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code • Implement efficient, scalable data pipelines and inference infrastructure • Develop high-performance tooling in ML and data engineering • Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO

• Own and deliver ML-powered product features end-to-end • Work closely with Scientists to productionise research outputs into reliable features • Build and maintain ML infrastructure • Contribute to technical design discussions and architecture decisions • Improve reliability, performance, and cost-efficiency of ML systems • Mentor more junior engineers

Role Description We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. - Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition. - Collaborate on benchmarking of models across datasets and operating conditions. - Train and optimize models using PyTorch, TensorFlow, and/or JAX. - Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. - Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. - Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. Qualifications - 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models). - Strong Computer Vision fundamentals. - Awareness of algorithmic bias and willingness to learn domain-specific fairness practices. - Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. - Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow. - Experience with GPU-based training and deploying ML services on AWS. Requirements - Research Publications in top computer vision venues (CVPR, ICCV, ECCV). - Familiarity with vector databases and ANN search. - Experience with GANs or diffusion models for data augmentation. - CoreML, LiteRT, and/or TFLite experience. - Familiarity with privacy, security, and compliance considerations in sensitive ML applications. Benefits - IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering, and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection, and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC, and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.