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

ICA.ai•Arlington, VA

94d•Remote

About The Position

As a 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.

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)
Ability to obtain a Public Trust Clearance

Nice To Haves

exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services.
experience with Document Processing

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
Remote work from anywhere within the continental United States