Note: The job is a remote job and is open to candidates in USA. Curinos empowers financial institutions to put customers at the center of every decision. They are seeking a Senior Machine Learning Engineer to support their Databricks-native machine learning and AI platform, operationalizing production-grade models and ensuring compliance and performance monitoring.
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
- 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.)
- Solid understanding of data structures and algorithms
- Solid verbal and written communication skills
- Team player and ability to work well with others in an intellectually challenging environment
- Self–discipline and willingness to learn
- 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
- Some experience with production support
Benefits
- 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
Company Overview
Company H1B Sponsorship