Machine Learning Engineer

Machine Learning Engineer

Hybrid, 2 days on-site required in Herndon, VA

Clearance Required: TS or Higher

People Centered. Data Driven

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. 

Summary of Position:      

We seek an energetic self-starter with a deep understanding of machine learning, data science, and a passion for applying these technologies to solve business challenges. As part of our team, you’ll help us leverage commercial models, build custom models, and develop sophisticated tools to provide our customers with unparalleled context and insights. If you’re eager to push the boundaries of recent machine learning advancements, embrace change, and contribute to our team’s success, we encourage you to apply.

Job Specifications/Requirements:

• 5+ years of professional experience as a data scientist or ML engineer
• Bachelor’s Degree in Computer Science, Computer Engineering, or Data Science
• Expertise in data cleaning and preprocessing techniques to handle noisy, incomplete, or inconsistent data
• Experience with data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, scikit-learn).
• Solid understanding of statistical concepts (e.g. metrics, error types, distributions)
• Proficiency with machine learning frameworks and related libraries (e.g. PyTorch, scikit-learn, XGBoost, spaCy)
• Experience building ML/AI capabilities to solve NLP problems (e.g. text classification, text summarization, named entity recognition, sentiment analysis)
• Knowledgeable about deep learning architectures (Feed Forward, Transformers, CNNs, RNNs, GANs)
• Excellent communication and technical writing skills
• Exhibits technical curiosity and a passion for innovating
• Proficient in Python
• Comfortable working in a Linux environment
• Familiarity with cloud computing platforms such as AWS, Google Cloud, Azure
• Familiarity with CI/CD automation tools such as Jenkins, GitOps, CodePipeline
• Experience with version control systems, preferable Git
• Experience with MLOps including building, evaluating, deploying, scaling, and validating ML models in a production environment
• Experience working with Large Language Models (LLMs) – prompt engineering, prompt chaining, retrieval-augmented generation (RAG), hallucination mitigation
• Experience utilizing the latest Generative AI Technologies (ChatGPT, Gemini, Claude, etc)
• Experience working with Jupyter notebooks and/or JupyterLab
• Experience working within the Agile framework

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business over 20 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. 

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning; each week the entire company attends a “Tech Talk” followed by an office lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance – with reasonable hours, solid pay, low travel, and extremely flexible time off – Elder Research enables and encourages its employees to serve others.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and our positions require US Citizenship.