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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
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