> Markdown version of [/jobs/ext/4402080-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4402080-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** James Search Group - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $180,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Computer Programming, Python (Programming Language), SQL Databases, Systems Integration, Unstructured Data, Cloud Platform System, Large Language Models, Machine Learning Operations, Natural Language Understanding - **Published:** October 9, 2026 - **Apply:** https://www.thejobnetwork.com/job/b750a47e-984c-40c9-8215-a77d49b9b4c5/senior-machine-learning-engineer ## About the Role * Master's degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research, or a related field. \n * Minimum of 5 years of hands-on experience in data science and machine learning, including techniques like regression, decision trees, neural networks, and ensemble models. \n * At least 2 years of experience working with large language models (LLMs) and foundational AI systems. \n * Strong programming skills in Python and SQL, with experience using popular data science libraries and frameworks. \n * Background in building and deploying ML models in cloud environments (e.g., Azure, AWS). \n * Proficient in handling and integrating large structured and unstructured datasets. \n * Strong analytical skills with a demonstrated ability to extract actionable insights from complex data. \n * Excellent verbal and written communication skills; capable of simplifying complex technical concepts for business audiences. \n, * Expertise in natural language processing (NLP) and natural language understanding (NLU). \n * Experience leading multi-functional AI projects or initiatives. \n * Background in insurance, particularly within claims, underwriting, or risk analytics. \n * Familiarity with actuarial data, insurance KPIs, or related industry-specific datasets. \n * Collaborative mindset with the ability to drive change and build consensus. \n