Principal Machine Learning Engineer

Posted 13 days agoViewed

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💎 Seniority level: Principal

📍 Location: United States

💸 Salary: 174000.0 - 242000.0 USD per year

🔍 Industry: Fintech

🏢 Company: Mission Lane👥 501-1000💰 about 1 year agoCredit Financial Services Finance

🪄 Skills: AWSPythonDesign PatternsGCPKubernetesMachine LearningMLFlowAirflowAlgorithmsData StructuresREST APISparkSoftware Engineering

Requirements:

A good foundation in computer science (data structures, algorithms, design patterns) and apply solid fundamentals in your software engineering (test-driven development, code review, refactoring)
Developed and maintained production ML systems
Expertise with Python and cloud technology stacks like GCP or AWS
Excitement to architect machine-learning platforms
Interest in a wide range of ML solutions including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools
Partnered with business stakeholders to create, refine, and execute new ideas and helped improve data science workflows

Responsibilities:

Design, develop, and deploy machine learning systems to solve practical problems and support our data scientists’ and analysts' ability to create models and perform analysis.
Partner with business leaders and technical experts across the company to improve our feature extraction, model development process, data pipelines, and model serving.

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