Senior Machine Learning Engineer

Company Description

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions 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 New York, Chicago, or Boston metropolitan areas.

Job Description

We are looking for a Senior Machine Learning Engineer to support our Databricks-native (i.e., Databricks Workflows, Delta Live Tables, Databricks Asset Bundles, Unity 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 complex ML and AI workflows in a collaborative team environment. 

Responsibilities: 

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

• Automate and optimize model deployment pipelines for batch and real-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 drift, data quality, and SLA adherence. 

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

• Troubleshoot and resolve issues related to model training, deployment, and integration with downstream systems. 

• Provide operational support for Databricks Workflows, Jobs, and Delta Lake integration. 

• Document processes, automation frameworks, and operational runbooks. 

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

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

Qualifications

Desired Skills & Expertise: 

• Strong hands-on experience with Databricks (Workflows, Delta Lake, MLflow). 

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

• Experience deploying models to Databricks 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., Databricks Asset Bundles, Jenkins, etc.). 

• Competency with shell scripting in a Linux environment nice to have 

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

• Some experience with real-time processing nice to have 

• Solid understanding of data structures and algorithms 

• Some experience with production support 

• Experience with 3rd party marketing clouds (such as Salesforce) nice 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 Curinos?  

• Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from 
• Flexible working options, including home working, flexible hours 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 a