• Feedback Loop Implementation: Design and implement systems that connect trade outcomes back to strategy improvement, specifically focusing on signal selection, risk parameters, position sizing, and timing. • Evaluation Frameworks: Build frameworks to quantify which signals and market conditions accurately predict profitable trades versus noise. • Automated Strategy Generation: Develop systems to explore new configurations, backtest them against real fleet data, and surface candidates for deployment autonomously. • Market Adaptation: Build mechanisms to detect shifts in market conditions (e.g., trending vs. choppy) and adapt fleet behavior in real-time. • Fleet Monitoring: Create higher-order agents for automated monitoring to catch configuration errors and performance degradation across all concurrent agents. • Performance Attribution: Decompose trades into component drivers—signal accuracy, execution efficiency, and exit timing—to feed insights back into strategy design. • Coordination & Risk: Manage concentration risk and capital allocation across the fleet, balancing the exploration of new approaches with the exploitation of proven strategies. • Infrastructure Ownership: Transition from external LLM dependence to controlled intelligence, evaluating hosting strategies ranging from proxied external models to fine-tuned, domain-specific models. • Data Capture: Build the telemetry and data capture layer to ensure every decision and outcome is structured and queryable. • Domain-Specific Training: Determine the efficacy of domain-specific training over general-purpose prompting and build the necessary pipelines for implementation. • Inference Optimization: Optimize inference for many concurrent agents, ensuring structured decision outputs and cost-efficiency at scale.

Role Description ECS is seeking a Data and AI Engineer to work remotely. The Data and AI Engineer will be a key member of our high performing team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements. They will also apply their technical expertise across multiple disciplines to share the best approaches and solutions with our customers to improve complex strategic solutions and meet enterprise needs. Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision. Salary Range: $120,000 - $165,000 Qualifications - Must be a US Citizen - Must be able to obtain a Public Trust Clearance - Bachelor's degree - 5+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures - 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools - Serve as a central facilitator in helping the organization to understand their current drivers and challenges - Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs - Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization - Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning - Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions - Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions - Experience working in Agile environment leveraging advanced design and engineering best practices - Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management - Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools - Experience with Azure and AWS Cloud native data and AI technologies - Experience with Databricks, SnowFlake, Palantir, and other large data platforms Benefits - General Description of Benefits Company Description

Role Description ECS is seeking a Sr. Data and AI Engineer to work remotely. The Sr. Data and AI Engineer will be a key member of our high performing team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements. They will also apply their technical expertise across multiple disciplines to share the best approaches and solutions with our customers to improve complex strategic solutions and meet enterprise needs. Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision. Salary Range: $180,000 - $200,000 Qualifications - Must be a US Citizen - Must be able to obtain a Public Trust Clearance - Bachelor's degree - 10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures - 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools - Serve as a central facilitator in helping the organization to understand their current drivers and challenges - Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs - Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization - Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning - Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions - Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions - Experience working in Agile environment leveraging advanced design and engineering best practices - Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management - Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools - Experience with Azure and AWS Cloud native data and AI technologies - Experience with Databricks, SnowFlake, Palantir, and other large data platforms Benefits - General Description of Benefits Company Description

Why you: As an AI / ML Engineer, you will be a contributor to the design, development, and implementation of Artificial Intelligence and Machine Learning solutions. Your primary focus will be on developing, implementing, and maintaining robust, scalable, and reliable AI/ML pipelines, with an emphasis on integrating and optimizing models, including Large Language Models (LLMs) and Generative AI technologies, into client and internal products. Your role requires a deep knowledge of ML engineering best practices and the AI ecosystem, coordinating with data scientists and software engineering teams. If this is you, and you wonder what it would be like to work at Pythian, reach out to us and find out! Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn and follow @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open around the world! Pythian Careers What you will be doing: - Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects. - Deploy, manage, and scale AI models, including pre-trained models (e.g., LLMs) and custom ML models, into production environments. - Work with data scientists to implement model prototypes into scalable, production-ready AI systems. - Optimize and tune model performance, latency, and cost-efficiency on cloud platforms. - Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and utilize containerization technologies (Docker, Kubernetes) for consistent deployment. - Apply standard MLOps practices, including continuous integration/continuous delivery (CI/CD), model versioning, monitoring, and maintenance systems. - Coordinate with software engineering teams to ensure seamless integration of AI capabilities into applications and user workflows. - Stay up to date with advancements in AI/ML technologies, Generative AI, and MLOps deployment strategies. What we need from you: - Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field. - 2 to 5 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role. - Strong programming skills in Python and proficiency in ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Hands-on experience in deploying and working with pre-trained models, such as Large Language Models (LLMs) or similar Generative AI technologies, into production environments. - Solid experience with cloud platforms (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes. - In-depth knowledge of Data Engineering principles, ETL/ELT processes, and version control systems (e.g., Git). - Experience in orchestrating Machine Learning pipelines using open-source tools like Kubeflow or managed cloud services. - Experience in building and optimizing scalable AI/ML systems. - Familiarity with MLOps best practices, including model monitoring, logging, and CI/CD pipelines for AI assets. - Strong communication and teamwork skills, with an ability to work effectively across cross-functional teams including solution architects and data scientists. What you will receive: - Love your career: Competitive total rewards package. Blog during work hours; take a day off and volunteer for your favorite charity. - Love your work/life balance: Flexibly work remotely from your home, there’s no daily travel requirement to an office! All you need is a stable internet connection. - Love your coworkers: Collaborate with some of the best and brightest in the industry! - Love your development: Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like! - Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment! - Love yourself: Pythian cares about the health and well-being of our team. You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more). Additionally, you will receive a generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity. Hiring Disclaimer - The successful applicant will need to fulfill the requirements necessary to obtain a background check. - Accommodations are available upon request for candidates taking part in any aspect of the selection process. - Pythian is looking to fill this position as soon as possible as this position is for an active and open position. AI Disclaimer Pythian may utilize Enterprise Generative Artificial Intelligence (AI) tools or features throughout its hiring process. These tools help us manage high volumes of applications efficiently and may be employed to review applications, analyze resumes, and assist with other recruitment steps. While Pythian uses AI in its hiring process, it does not substitute for human judgment. Our Talent Acquisition Team reviews all AI-generated recommendations, and the system is subject to regular bias audits to ensure fairness and compliance with all applicable employment and human rights laws. All final hiring decisions are made by, and remain the responsibility of, human decision-makers. By applying for this position, you consent to Pythian’s use of these AI tools in the evaluation of your application. You have the right to request a human review of any solely AI-driven decision or to request an accommodation. Should you require further details regarding the processing of your data, please reach out to us.