AI Research Intern focusing on advancing deep learning techniques in financial products at TD. Collaborating on large - scale datasets and representing the team at ML conferences.
About the role
- Machine Learning Engineer designing, implementing, and deploying ML solutions for GEICO. Collaborating with cross-functional teams to integrate ML models and ensure business impact.
Responsibilities
- Independently design, implement, deploy, and maintain machine learning models and components that solve real-world business problems in close collaboration with the Product, Business units, and 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.
- Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact.
Requirements
- Solid knowledge of ML algorithm foundations.
- Strong engineering skills to develop production ML/AI systems.
- Strong business sense to turn a business problem into the right ML/AI problem.
- B.Sc. in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field.
- At least 2 years of experience in developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques (e.g., deep learning, ensemble methods, NLP, reinforcement learning).
- At least 2 years of experience & proficiency in writing production-grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- At least 2 years of experience with cloud-based environments (AWS, Azure, GCP) and familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- At least 2 years of hands-on experience with building data processing and ML workflow pipelines using SQL, Spark, and Python scripting.
- At least 2 years of experience & proficient in utilizing distributed computing frameworks and large-scale data processing tools.
- At least 2 years of experience with advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models.
- At least 2 years of experience with software development best practices (CI/CD, containerization, version control).
- At least 2 years of experience with data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.
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.
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