Cimgroup
Sr. Machine Learning Ops Engineer
Los Angeles, CA · Senior
Sponsorship not specified$175k-$225kDetected 146 days ago
PythonBashGitSQLDatabricksVector DatabasesGCPAzureDockerKubernetesCI/CDGitHub ActionsJenkinsPrometheusGrafanaDevOpsPlatform EngineeringMachine LearningTensorFlowPyTorchscikit-learnAirflowData EngineeringData Science
About the role
- Back in 1994, our three founders focused on projects in Southern California neighborhoods.
- Our projects have delivered jobs; created comfortable places to live, work, and relax; and provided necessary and sustainable infrastructure.
- The Senior ML Ops Engineer ensures models transition from development to production while meeting regulatory and compliance standards.
Responsibilities
- Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.
- Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.
- Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.
- Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research.
- Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.
- Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.
- Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.
- Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.
- Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.
- Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.
Requirements
- Experience with RAG systems, vector databases, and LLM deployment is essential for this role.
- Business Partnership: Exceptional ability to translate complex AI/ML concepts for non-technical stakeholders across Fund Accounting, Investor Relations, and Investment teams.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- 7+ years of experience as an ML Ops Engineer, ML Engineer, or similar role with production deployment responsibility.
- Expert-level proficiency in Python, complemented by strong skills in Bash scripting.
- Extensive experience designing and implementing cloud solutions on Azure (required) or GCP.
- Deep expertise with Docker and Kubernetes for containerizing and orchestrating ML workloads.
- Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps.
- Strong SQL proficiency and practical experience with Databricks platform.
- Experience with workflow orchestration tools (Airflow, Prefect, or Databricks Workflows) and monitoring tools (Prometheus, Grafana, Evidently AI).
Nice to have
- Experience with LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning) on proprietary data.
- Familiarity with ML frameworks including TensorFlow, PyTorch, Scikit-learn, XGBoost.
- Experience with model serialization (ONNX) and inference optimization.
- Prior experience within financial services, fintech, or private equity sectors.
Compensation
- In addition to a competitive compensation plan, CIM offers a comprehensive benefits program for employees to thrive both inside and outside of work.
Benefits
- A variety of Medical, dental, and vision benefit plans
- Health Savings Account with a generous employer contribution
- Company paid life and disability insurance
- Up to 16 hours of volunteer time off
- Up to 16 weeks of Paid Parental Leave
- Wellness program, including monthly and quarterly prizes
Company info
- CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer.
- Our team of experts works together to identify and create value in real assets, benefiting the communities in which we invest.
- Today, we are a diverse team of 900+ employees with projects across the Americas.
- Our focus on enhancing communities is unwavering, and we strive to make an even greater impact in the years to come.
- Join us and make an impact today!
Equal opportunity
- At CIM Group, we believe that the unique perspectives and backgrounds of our employees enhance everything we do.
- We are committed to fostering an inclusive environment where diversity is not only respected but celebrated.
- We strive to ensure that our workplace is free from discrimination and harassment, allowing everyone to contribute meaningfully and feel a sense of belonging.
- As an equal opportunity employer, we strictly prohibit any form of unlawful discrimination and adhere to the laws enforced by the EEOC.
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This listing is sourced directly from Cimgroup's careers page and normalized into a canonical job model.