Machine Learning Engineer

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Job Description # Machine Learning Engineer
* Architect and deploy end-to-end ML pipelines to deliver solutions for business needs.
* Collaborate with data scientists and subject matter experts to identify and engineer features that enhance model accuracy and resilience.
* Partner with product managers, software engineers, and stakeholders to gather requirements, set priorities, and deliver ML-driven outcomes aligned with organizational goals.
* Develop real-time monitoring and logging tools to track model health and quickly resolve performance issues.
* Perform hyperparameter tuning to optimize models for accuracy and generalization on unseen datasets.
* Design and prototype ML systems, frameworks, and utilities capable of processing large-scale data efficiently.
* Convert experimental data science models into robust, scalable production implementations.
* Work closely with data scientists to troubleshoot and refine complex data workflows.
* Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (preferred).
* 2–3+ years of hands-on experience coding in languages such as Python or Java.
* Strong background in data preprocessing, feature engineering, and model evaluation.
* Proficiency with containerization tools like Docker and Kubernetes.
* Experience working with cloud platforms (AWS, GCP, or Azure).
* Knowledge of ML frameworks and libraries (Tensor Flow, PyTorch, scikit-learn, etc.).
* SQL expertise for data extraction and manipulation.
* Ability to thrive in fast-paced, agile environments both independently and collaboratively.
* AWS Cloud certification.
* Experience with Spark and Java development.
* Familiarity with insurance or financial services industries.
* Excellent communication and collaboration skills for working with cross-functional teams, vendors, and stakeholders.
* Strong analytical and problem-solving abilities for structured and unstructured data.
* Demonstrated leadership in driving initiatives and delivering results.
* Detail-oriented with a continuous learning mindset.
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