Sr. ML Engineer

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Job Description: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our AI Platforms Team. The ideal candidate will play a crucial role in ensuring that projects developed by our Data Science teams are production-ready. This position requires a deep understanding of machine learning, data science, and software engineering principles.

Key Responsibilities:

• Collaborate with Data Science teams to refine and enhance machine learning models and data science projects at every stage of development.
• Ensure that machine learning models and data science projects are production-ready, scalable, performant, and fault-tolerant.
• Develop and enforce best practices, controls, and governance frameworks for machine learning projects.
• Implement robust monitoring and maintenance strategies for deployed models to ensure continuous performance and reliability.
• Work closely with cross-functional teams to integrate machine learning solutions into production environments.
• Provide technical leadership and mentorship to junior engineers and data scientists.
• Stay up-to-date with the latest advancements in machine learning and data science technologies and methodologies.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus.
• Proven experience in machine learning, data science, and software engineering.
• Strong programming skills in languages such as Python and SQL.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Working knowledge of various machine learning algorithms, for use cases including but not limited to regression, classification, forecasting, and anomaly detection.
• Familiarity with cloud platforms, especially AWS and SageMaker.
• Experience in building and deploying large-scale machine learning projects in production.
• Deep internal understanding of machine learning algorithms.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Preferred Qualifications:

• Knowledge of Dataiku platform is preferred but not mandatory.

• Knowledge of data governance and compliance standards.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience in deploying Generative AI (GenAI) projects in production is preferred.

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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