[Hiring] Data Science/Machine Learning Engineer @ICA.ai

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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 • Contributing to the advancement of our AI capabilities Qualifications • 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 Requirements • 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 Benefits • 100% employer-paid premiums for health insurance – 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 Apply Now Apply Now