Senior Data Science/Machine Learning Engineer (Remote, Continental United States)

ICA.ai • Arlington, VA

23h • Remote

About The Position

As a Senior Data Science/ Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve complex problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross-functional teams, and contributing to the advancement of our AI capabilities. ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

Requirements

• 5+ years of overall professional experience in data science, analytics, or a related field.
• At least 2–3 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering).
• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Coding knowledge and experience with Python
• Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development.
• Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks
• Familiarity with LLM evaluation, interpretability, and best practices.
• Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, , etc.).
• Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock) for scalable model development.
• NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing)

Nice To Haves

• exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services.
• experience with Document Processing Ability
• Ability to obtain a Public Trust Clearance

Responsibilities

• Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals.
• Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data.
• Perform data processing using State of the Art LLM Models and technologies
• Innovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization’s data strategy with novel ML and AI methods.
• Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management.
• Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes.
• Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices.

Benefits

• Health Insurance - 100% employer-paid premiums – ICA covers the full cost of one of three offered medical plans
• Dental Insurance
• Vision insurance
• Health Spending Account
• Flexible Spending Account
• Life and Disability insurance
• 401(k) plan with company match
• Paid Time Off (Vacation, Sick Leave and Holidays)
• Education and Professional Development Assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior