> Markdown version of [/jobs/ext/2154363-ai-machine-learning-specialist](https://www.wearedevelopers.com/jobs/ext/2154363-ai-machine-learning-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Machine Learning Specialist - **Company:** After School Matters, Inc. - **Location:** Fort Meade, MD, United States (Remote available) - **Salary:** $90,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Machine Learning, Microsoft SharePoint, Software Engineering, Machine Learning Operations - **Published:** August 20, 2026 - **Apply:** https://augustschell.applytojob.com/apply/jobs/details/HGJ52EhQbh?&# ## About the Role Do you currently hold an active DoD 8570/8140 IAT-II Certification?* How many years experience working with SharePoint?* ## Description Overview: An AI/Machine Learning Specialist designs, develops, and implements AI solutions, leveraging techniques like machine learning and deep learning to solve complex business problems. They work closely with data scientists and engineers to create algorithms that drive data analysis and influence strategic decisions., * Project Planning and Execution: This role involves strategizing and implementing ML projects. It requires a strong understanding of business objectives to develop project plans, coordinate resources, and oversee the project's execution to deliver high-quality results on time. * Problem-Solving and Decision-Making: The ML Specialist is expected to leverage their technical expertise to solve complex problems. They must be capable of making critical decisions related to algorithm choice, data usage, and model implementation, which directly impact the project's outcome. * Collaboration with Cross-Functional Teams: As part of their role, ML Specialists work closely with other departments such as data engineering, software development, and business intelligence. This collaboration ensures that ML projects align with broader company objectives and technological capabilities. * Leadership and Mentorship: In some cases, the ML Specialist may be required to lead a team of junior data scientists or analysts. This responsibility includes mentoring team members, overseeing their work, and contributing to their professional development. * Process Improvement and Innovation: A fundamental part of this role is to continuously seek ways to improve existing ML processes and algorithms. The ML Specialist is also expected to stay updated on industry trends and apply innovative techniques to maintain our competitive edge. * Technical or Customer-Facing Responsibilities: Lastly, an ML Specialist may be tasked with technical report writing, presenting findings to non-technical stakeholders, or even interacting with clients to understand their needs and deliver tailored ML solutions. Note This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [From Syntax to Singularity: AI’s Impact on Developer Roles](https://www.wearedevelopers.com/videos/900-from-syntax-to-singularity-ai-s-impact-on-developer-roles) - [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI in Africa: How can we bounce back?](https://www.wearedevelopers.com/videos/1251-ai-in-africa-how-can-we-bounce-back) - [Develop enterprise-ready applications for Microsoft Teams with Azure resources on modern web technologies](https://www.wearedevelopers.com/videos/187-develop-enterprise-ready-applications-for-microsoft-teams-with-azure-resources-on-modern-web-technologies) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)