Helping our clients achieve their goals starts with attracting and obtaining top talent. We look for highly innovative and bright individuals; give them the tools they need, then give them the freedom to do what they do best. We empower our employees to make the best of their opportunities in a rewarding and challenging environment. We have a passion for excellence. Our employees thrive on making a difference and generating results for our clients in a flexible environment that offers support and camaraderie. No matter where you are located, DPRA offers learning opportunities and a flexible work style to help our staff manage responsibilities and add balance to their lives. Along with a flexible workplace, DPRA offers a Total Rewards program that provides its employees with not only a competitive salary, but also covers a wide variety of benefits and programs! If you are looking for a challenging position in an innovative company, then this is the position for you. Currently, DPRA is searching for an Senior Information Solution Architect. This remote full-time position will provide top-level technical expertise, including performing in-depth and complex AI/ML software systems programming, configuration and analysis. The successful candidate will build, deploy and maintain machine learning systems in production. The information solution architect works with a team of Analysts, Subject Matter Experts and Data Scientist to determine application and data requirements and recommend system solutions. Essential Job Duties and Functions: - Takes AI/ML models from Data Scientist and rewrite/optimizes them for scale. - Builds training/deployment pipelines, APIs, monitoring artifacts. - Helps ensure systems/containers/code are compatible and in compliance with CMMC standards for open systems and DoD architecture. - Identifies, assesses, and presents options for meeting the functional and technical requirements including software updates or upgrades. - Interacts with project management to plan project schedules, level of effort, and technical direction. - Develops AI/ML implementation design documents and technology white papers. - Maintains and recommends software quality coding standards and ensures such standards are adhered to. - Develops high level system design diagrams for program design, coding, testing, debugging and documentation. - Performs QA software product reviews. Basic Qualifications: - Strong software engineering skills using Python, C++, and Java. - Experience using Machine Learning (ML) frameworks (TensorFlow, PyTorch, JAX). - Strong Experience with ML Ops tools (MLflow, Kubeflow, SageMaker, Vertex AI). - Experience with Containerization & Orchestration (Docker, Kubernetes). - Experience in Cloud deployment (AWS/GCP/Azure). - Experience with monitoring & observability for ML systems. - Receiving ML models (often prototypes from Data Scientists) and making them production ready. - Designing end-to-end ML pipelines: training, evaluation, deployment, monitoring, retraining. - Optimizing models for latency, throughput, and cost (quantization, distillation, distributed training). - Implementing ML Ops: CI/CD for ML, model registries, versioning, reproducibility. - Collaborating with Data Engineers to ensure pipeline compatibility, and with Systems Engineers to ensure deployment runs smoothly on cloud infrastructures. - Monitoring model drift, data drift, and setting up automated model retraining triggers. - Writing scalable APIs/microservices to expose models. - Ensuring compliance, security, reliability, and performance in real-world use. - Ability to perform senior level tracking, testing, validation and verification of complex software applications. - Contributing to all activities and steps that form the software development process with an emphasis on design, implementation, testing and deployment. - Strong problem-solving skills and ability to resolve technical issues independently when needed. - Knowledge of Continuous Integration using Jenkins, Maven, GIT. Ability to deploy updates and fixes. - Ability to work directly with the functional subject matter experts and the customer in the design of software and clarification of requirements. - Ability to engineer secure code, as defined by DoD guidance. - Bachelor’s degree in computer science, mathematics or another techically related field. - Minimum of 7 years’ experience performing the functions on commercial or DoD programs/projects. - Must be a U.S. Citizen with and Active DoD security clearance (preferred), or the ability to obtain and maintain a DoD security clearance. Preferred Qualifications: Experience with the following is a plus: - Interactive Geospatial (Maps) design and implementation - CSS processors such as sass and less - Static-typed superscripts of JavaScript such as TypeScript of Flow - Node.js, Angular, AngularJS - Building systems such as wepack, rollup, grunt and gulp - Using Jira for Agile Development Management Other relevant Technical and Agile certifications (i.e. Certified Scrum Mater, Microsoft (MCSD, MCSE) Certifications, SaFE Certifications, etc.) Some Knowledge of Amazon Web Services (AWS) DPRA is an EOE – Females/Minorities/Protected Veterans/Individuals

Role Description A forward-thinking organization is seeking an AI Architect to design, scale, and operationalize enterprise-grade AI systems that drive real business transformation. This is not a research role. This is about building and embedding AI into core business operations—from strategy to execution. If you know how to translate AI capability into enterprise value, architect scalable systems, and lead cross-functional adoption, this is a career-defining opportunity. What You'll Own: - Design and lead the end-to-end AI architecture across enterprise systems - Define strategy for LLMs, AI workflows, and intelligent automation - Build scalable AI/ML pipelines and production-ready systems (LLMOps / MLOps) - Partner with executive stakeholders to align AI initiatives with business outcomes - Architect integrations across data platforms, APIs, and enterprise applications - Establish AI governance frameworks, including security, compliance, and ethical use - Evaluate and select AI tools, models, and platforms (OpenAI, Anthropic, open-source, etc.) - Lead and mentor teams across engineering, data, and product Qualifications - 8–15+ years in software engineering, data, or AI/ML systems - Proven experience designing and deploying AI systems at scale - Deep knowledge of: - LLMs and generative AI architectures - Cloud platforms (AWS, Azure, GCP) - APIs, microservices, and distributed systems - Data pipelines and ML lifecycle management - Strong ability to translate business problems into technical solutions - Experience influencing executive stakeholders and cross-functional teams Requirements - Highly Preferred: - Experience building AI agents, workflow automation, or multi-step reasoning systems - Exposure to LLMOps frameworks and evaluation methodologies - Background in enterprise transformation or consulting environments - Knowledge of AI governance, risk, and compliance frameworks Benefits - $190K – $220K base salary (flexible based on experience) - Bonus and/or equity potential - Fully remote with high visibility and impact Why This Role Stands Out - Own enterprise AI architecture at a strategic level - Directly influence how AI transforms business operations - Work in a high-growth, innovation-driven environment - Blend strategy + architecture + execution Why Work with Northwest Talent Solutions - Precision Alignment: We match you to roles where you can lead and scale impact - Direct Access: Faster interview cycles with decision-makers - Strategic Advocacy: We position you at the right level—not just any role - Confidential Search: Discretion and professionalism at every step Ready to Architect What's Next? If you're building AI systems that actually drive outcomes—not just experiments—we want to connect. Apply now or reach out for a confidential discussion.

Role Description - Write realistic prompts reflecting professional and consumer domain-specific guidance. - Evaluate AI-generated responses for factual accuracy and practical usefulness. - Identify fabricated claims and misleading reasoning in model outputs. - Score and rank model responses using structured rubrics. - Provide written justifications with specific evidence for each evaluation. Qualifications - Professional experience applying domain expertise in a practitioner or advisory capacity. - Familiarity with industry-specific standards, regulations, or clinical guidelines. - Strong written communication and critical reasoning skills. Requirements - Type: Contract - Compensation: $25–$35/hour - Commitment: 20 hours/week Application Process - Submit your resume to begin. - Complete the Model Response Evaluation assessment. Resources & Support - For details about the interview process and platform information, please check: Interview Process Details - For any help or support, reach out to: support@mercor.com

Role Description Join us as an AI Engineer (Image & Video Generation) and become part of a team building and scaling generative pipelines for next-generation visual content at Zeely. Zeely AI is a platform that uses artificial intelligence to generate viral UGC videos and ad banners, as well as launch effective ad campaigns on Facebook and Instagram, helping small businesses become visible and scale. Your key responsibilities: - Design and improve generative pipelines for image and video creation - Tune and control the behavior of image/video models: visual quality, style consistency, and product identity preservation - Optimize and scale image→video and text→video workflows for stable and reproducible production results - Diagnose quality bottlenecks (artifacts, instability, product distortions) and implement fixes - Extend generative systems for new products and marketing content scenarios - Research and test new image/video models and tools, staying up to date with the latest industry solutions Qualifications - 2+ years of hands-on experience in AI / Generative Systems Engineering, where prompts are part of the engineering logic rather than a standalone artifact - Strong analytical and formal reasoning skills: ability to build cause-and-effect relationships when diagnosing and optimizing generation systems - Ability to independently evaluate visual quality of generated outputs: composition, lighting, consistency, and product alignment—without external designer validation - Understanding of UGC/ad content and product-focused generation - Experience with generative models across multiple modalities: text-to-image, image-to-image, image-to-video, video-to-video, multimodal scenarios - Experience designing LLM agents or automated generative workflows - Ability to build complex multi-step workflows, and optimize/debug generation pipelines - Strong prompt engineering skills for image and video models - Habit of documenting pipelines, experiments, and decisions: structured notes on models, prompts, parameters, and test results to ensure reproducibility and shared team understanding - Keeping up with news and releases in image/video generation, understanding the current tooling landscape Requirements - Experience with ComfyUI - Experience with LoRA tuning or fine-tuning image/video models - Experience integrating generative pipelines into production systems (APIs, queues, storage, Docker, Kubernetes, etc.) - Experience building automated workflows in n8n or similar tools - Practical experience with Python AI/ML libraries - Experience working with media processing in Python: ffmpeg-python, moviepy, imageio, pydub, and similar tools Benefits - Work with cutting-edge technologies and contribute to building AI-powered tools - Join a strong A-level team that motivates you to grow and achieve more - Remote-first approach: work from anywhere, with the option to visit our offices in Warsaw and Kyiv - Paid day offs and sick leaves — we care about your work-life balance - Regular performance reviews to ensure your growth is transparent and rewarded - Financial support — consultations for private entrepreneurs from our dedicated finance team Recruitment process - Intro call - Test Task - Final Interview - Reference Check - Offer Send us your CV — we’d love to get to know you better!