Design and implement machine learning models & components that solve real-world business problems in close collaboration with the Product, Business units & Data Science teams.
Write production-grade code for ML models as services and APIs
Collaborate with cross-functional teams, including data engineering and software development, to integrate machine learning models into production systems.
Build and maintain scalable data processing workflows and model deployment infrastructure.
Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.
Keep up with the latest ML tooling and communities
Lead the design and implementation of complex machine learning models across various business units.
Architect and develop scalable infrastructure for automated model training, hyperparameter tuning, and deployment.
Mentor and guide junior engineers, collaborating closely with machine learning engineers to optimize and refine models.
Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance.

Requirements

B.Sc. in Machine Learning, Computer Science, Statistics, Mathematics, or related quantitative field
6+ year of experience applying machine learning techniques (e.g. Ensemble learning, deep learning, reinforcement learning, NLP etc.)
6+ years of experience with SQL, Spark and scripting languages like Python
6+ years of experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
4+ years of experience working with cloud platforms and environments like AWS, Microsoft Azure, Databricks, and Kubernetes.
4+ years of experience applying machine learning techniques in a production environment for business solutions.

Benefits

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

machine learningproduction-grade codedata processing workflowsmodel deployment infrastructuremodel performance debugginghyperparameter tuningmodel monitoringNLPSQLPython

Soft skills

collaborationmentoringleadershipproblem-solvingcommunication