Technology Analyst

Analytic Services Inc • Arlington, VA

1d

About The Position

ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service. ANSER is seeking a Technology Analyst to solve complex problems and drive innovation across the organization through applied coding, automation, and advanced research and leveraging Artificial Intelligence / Machine Learning (AI/ML). This position does not offer relocation. Only candidates within a commutable distance will be considered.

Requirements

• Active Secret clearance.
• Bachelor’s degree in a technical discipline such as computer science, information technology, physics, mathematics or similar.
• 5+ years of experience in AI/ML development, automation, or applied research.
• Proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Knowledge of RPA platforms (UiPath, Automation Anywhere, Blue Prism).
• Strong understanding of LLMs and prompt engineering for generative AI applications.
• Ability to independently conduct applied research and translate findings into practical solutions.
• Excellent problem-solving skills and ability to work in collaborative, agile environments.

Nice To Haves

• Masters Degree.
• Experience with cloud platforms (Azure, AWS, GCP) for AI/ML deployment.
• Background in advanced analytics, data mining, or knowledge graphs.
• Exposure to MLOps practices for model lifecycle management.
• Strong communication skills to present technical concepts to non-technical stakeholders.

Responsibilities

• Design and develop AI/ML systems in an Azure environment: Build, train, and optimize models for natural language processing, computer vision, and predictive analytics.
• Prompt engineering: Create, refine, and test prompts to maximize performance of large language models and generative AI systems.
• Implement RPA solutions: Automate workflows and repetitive tasks using RPA tools integrated with AI/ML capabilities.
• Conduct advanced research: Apply AI/ML techniques to explore new methodologies, uncover insights, and support strategic decision-making.
• Collaborate cross-functionally: Partner with data scientists, researchers, and business stakeholders to translate requirements into technical solutions.
• Maintain and scale systems: Ensure reliability, scalability, and performance of deployed AI/ML and RPA solutions.
• Stay current with emerging technologies: Monitor industry trends and integrate cutting-edge AI/ML advancements into organizational practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees