Get ai-powered advice on this job and more exclusive features. Direct message the job poster from entellux entrepreneurial spirit | driving growth as ceo & co-founder of entellux | transforming nearshore staffing augmentation, it staffing solutions &… job title: data engineer job type: remote/contract/usd payment job summary we are seeking a highly skilled and experienced data scientist who will be responsible for applying ai & ml solutions to complex business problems in the insurance space. Become part of a driven remote team working on a variety of data science initiatives, from classic machine learning to applying the latest advancements in generative ai. Key responsibilities own the ml lifecycle for designated projects, from scoping and data prep to model development, validation, and handoff for deployment; follow our established ai/ml workflow and documentation templates develop robust machine learning models and implement clean, testable python code using libraries such as pandas, scikit-learn, and pytorch/tensorflow as needed design and execute sql queries to profile, join, aggregate, and validate large datasets in snowflake work closely with engineering and devops teams to ensure seamless integration, deployment, and scalability of machine learning models within the existing infrastructure package models using docker and deploy via ci/cd pipelines. Use aws services like sagemaker and lambda for scalable deployment. Monitor model performance and automate retraining workflows adhere to best practices for model validation, testing, and monitoring to ensure performance and reliability use monitoring tools (streamlit, power bi) to track model drift and accuracy. Effectively communicate complex analytical findings to both technical and non-technical audiences through reports, presentations, and visualizations write clear documentation and executive summaries. Present findings in stakeholder meetings and webinars. Nlp/text analytics (e.g., document classification, summarization) and contribute to light genai use cases (prompting, evaluation, and retrieval where appropriate) qualifications bachelor’s degree or higher in machine learning, computer science, mathematics, statistics, information systems, or similar quantitative field 2-4 years of relevant, proven experience building and deploying machine learning models; experience within the insurance industry a plus experience building & deploying models with aws tools (bedrock, sagemaker, comprehend, s3, etc) is preferred proficiency in writing production-quality, scalable code using python; experience with scikit-learn, pytorch, tensorflow, huggingface, keras, etc. Strong working knowledge of mlflow, docker git, and sql experience in creating and integrating apis for model deployment demonstrated ability to translate business problems into ml solutions familiarity with data visualization tools (power bi) is a plus demonstrated experience innovating and extracting insights from multiple data types including unstructured data. Strong communication skills ability to quickly and efficiently adapt to new concepts and changing project scopes ability to thrive in a remote team environment. Seniority level associate employment type contract job function engineering, information technology, and analyst industries it services and it consulting and insurance referrals increase your chances of interviewing at entellux by 2x get notified about new data scientist jobs in mexico. Data scientist, research, search experiments mexico city metropolitan area 7 hours ago python developer (ai/tech consulting company) mexico city, mexico mx$110,000.00-mx$118,000.00 4 weeks ago ai software engineer (generative ai) - remote we’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of ai. J-18808-ljbffr