Senior Engineer, ML/AI Ops (Databricks)

Curinos; United States; On-site; USD 130,000 - 147,000; Full time

Benefits offered by this job

Competitive benefits

Flexible work options

Unlimited PTO

Learning and development tools

DEI program

Employee assistance program

Job summary

Curinos seeks a Senior Machine Learning Engineer to operationalize production-grade ML/AI on a Databricks-native platform, owning deployments and monitoring pipelines for model performance and guardrails. You will collaborate with data scientists, data engineers, and product managers in a regulated FinTech environment.

Experience with Databricks workflows, Delta Lake, Unity Catalog, and MLflow is essential, as is strong communication and ownership of end-to-end ML/AI workflows.

Qualifications

• Strong hands-on experience with Databricks: Workflows, Delta Lake, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code.
• 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.).
• Exposure to contemporary big data and AI stacks and technologies: Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot
• Some experience with real‑time processing nice to have
• Solid understanding of data structures and algorithms
• Some experience with production support
• 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

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
• Build and maintain robust and scalable monitoring pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators to ensure SLA adherence, scalability, reproducibility, and reliability
• Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies
• Support governance and compliance requirements: model registry usage, auditability, and reproducibility
• Document processes, automation frameworks, and operational runbooks
• Bring best practices to bear on the team’s products and educate the team members

Skills

Databricks suite

MLflow

Python

Spark

CI/CD tools

Shell scripting

AWS

Big data stacks

Real-time processing

Data structures & algorithms

Production support

Communication skills

Team collaboration

Tools

Databricks

MLflow

REST APIs

Python

Spark

Unix/Linux

AWS

Databricks Asset Bundles

Unity Catalog

Job description

Curinos empowers financial institutions to put customers at the center of every decision. Our AI‑first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth.

Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States.

Job Description

We are looking for a Senior Machine Learning Engineer to support our Databricks‑native machine learning (ML) and AI platform. In this role you will operationalize production‑grade ML and AI models, manage deployments, and own building and maintaining robust monitoring and governance pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators. We are a Databricks shop, and in this role, you are expected to be familiar with the Databricks ecosystem, including Databricks Workflows, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code, as well as tools like MonteCarlo, Fiddler, and MLFlow. In addition to solid technical skills, this role requires strong communication across functions and product teams, 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. As a FinTech, Curinos operates in a highly regulated environment, and this role is critical in ensuring high‑quality model monitoring and compliance.

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
• Build and maintain robust and scalable monitoring pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators to ensure SLA adherence, scalability, reproducibility, and reliability
• Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies
• Support governance and compliance requirements: model registry usage, auditability, and reproducibility
• Document processes, automation frameworks, and operational runbooks
• Bring best practices to bear on the team’s products and educate the team members

Salary Range

130,000-147,000 USD (plus bonus)

Desired Skills & Expertise

• Strong hands‑on experience with Databricks: Workflows, Delta Lake, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code.
• 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: Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot
• Some experience with real‑time processing nice to have
• Solid understanding of data structures and algorithms
• Some experience with production support
• 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

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!
• Unlimited PTO policy, 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 third‑party advice on well‑being, 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 all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we 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 [e-mail] and we’ll do everything we can to help.

Inclusivity at Curinos

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