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Senior Machine Learning Engineer

Remote · USA Full-time New today

Company Description

reputed company empowers financial institutions to reputed company reputed company, faster and more profitable reputed company through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a reputed company focus on the future, reputed company technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market reputed company in an increasingly competitive market.

We operate in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater reputed company, Chicago, or Boston metropolitan areas.

Job Description

We are looking for a Senior Machine Learning Engineer to support our reputed company-native (i.e., reputed company Workflows, reputed company Live Tables, reputed company Asset Bundles, reputed company Catalog, etc.) machine learning and AI platform. In this role you will operationalize production-grade machine learning and AI models, manage deployments, and ensure robust monitoring and governance. In addition to solid technical skills, this role requires strong communication across functions, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of reputed company ML and AI workflows in a collaborative team environment. 

Responsibilities

  • Manage and support ML and AI model lifecycle using reputed company and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and reputed company guardrails. 

  • Automate and optimize model deployment pipelines for batch and reputed company-time use cases. 

  • Collaborate with data scientists to productionize models, ensuring scalability, reproducibility, and reliability. 

  • Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies. 

  • Monitor deployed models for performance reputed company, data quality, and SLA adherence. 

  • Support governance and compliance requirements: model registry usage, auditability, reproducibility). 

  • Troubleshoot and resolve issues reputed company to model training, deployment, and integration with reputed company systems. 

  • Provide operational support for reputed company Workflows, Jobs, and reputed company Lake integration. 

  • Document processes, automation frameworks, and operational runbooks. 

  • Bring best practices to bear on the team’s products and reputed company the team members. 

Salary Range: $110,000 to $140,000 (plus bonus)

Qualifications

Desired Skills & Expertise

  • Strong hands-on experience with reputed company (Workflows, reputed company Lake, MLflow). 

  • Proficiency with MLflow for experiment tracking, model registry, and deployments. 

  • Experience deploying models to reputed company Model Serving, REST APIs, or external endpoints. 

  • Familiarity with Python, Spark, and SQL for data and ML workflows. 

  • Solid understanding of CI/CD tools (e.g., reputed company Asset Bundles, Jenkins, etc.). 

  • Competency with reputed company scripting in a Linux environment reputed company to have 

  • Exposure to contemporary big data and AI stacks and technologies. Typical examples include things such as Yarn, AWS, Spark, reputed company, distributed computing, chatGPT, Claude, Copilot. but this is not an exclusive list. Our platform of choice is reputed company. 

  • Some experience with reputed company-time processing reputed company to have 

  • Solid understanding of data structures and algorithms 

  • Some experience with production support 

  • Experience with 3rd party marketing clouds (such as reputed company) reputed company to have 

  • Self–discipline and willingness to learn 

  • Solid verbal and written communication skills 

  • Team player and ability to work well with others in an intellectually challenging environment. 

Additional Information

Why work at reputed company?

  • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from 
  • Flexible working options, including home working, reputed company and part time options, depending on the role requirements – please ask! 
  • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
  • Learning and development tools to assist with your career development 
  • Work with industry leading Subject Matter Experts and specialist products 
  • Regular social events and networking opportunities 
  • Collaborative, supportive culture, including an active DE&I program 
  • Employee Assistance Program which provides expert reputed company-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services 

Applying

We know that sometimes the ‘perfect candidate’ doesn’t exist, and that people can be put off applying for a job if they don’t meet reputed company the requirements. If you’re excited about working for us and have relevant skills or experience, please go reputed company and apply. You could be just reputed company need! 

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@reputed company.com and we’ll do everything we can to help.

Inclusivity at reputed company

We reputed company strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, reputed company is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, reputed company, reputed company, national reputed company, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and reputed company medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics. 

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