Sr ML Ops Engineer
BrothersTechAbout the role
Job Title: Sr ML Ops Engineer
Location: Davie, FL – Hybrid
VISA :- Only US Citizen
We are looking for a highly skilled MLOps Engineer to support the end-to-end machine learning lifecycle, from experimentation to production deployment.
This role focuses on building scalable, reliable, and automated ML infrastructure, enabling data science teams to deliver production-ready models efficiently and confidently.
Key Responsibilities
- Design, build, and maintain production-grade ML pipelines on Databricks
- Operationalize ML models, including deployment, monitoring, and lifecycle management
- Build and maintain CI/CD pipelines for ML workflows
- Develop and manage real-time and streaming data pipelines
- Collaborate closely with Data Scientists to productionize models efficiently
•Implement model versioning, experiment tracking, and reproducibility
- Define and enforce ML best practices, governance, and quality standards
- Monitor model performance and data drift; implement automated retraining strategies
- Optimize performance, scalability, and cost of distributed workloads
- Contribute to platform design for low-latency inference and scalable serving
Required Qualifications (Must-Have)
- Strong experience with Databricks (Workflows, MLflow, Delta Lake)
- Deep expertise in Apache Spark (batch and streaming)
- Advanced Python skills (production-quality code)
- Hands-on experience with streaming / real-time systems
- Proven experience designing and implementing CI/CD pipelines
- Strong understanding of the ML lifecycle (training ? deployment ? monitoring ? retraining)
- Experience building scalable, distributed data and ML pipelines
Nice-to-Have Skills
- Experience with Snowflake
- Knowledge of Kubernetes
- Experience with Docker
- Familiarity with Terraform or other Infrastructure as Code tools
- Experience with feature stores (e.g. Snowflake or Databricks Feature Store, etc.)
- Experience with event-driven architectures (Kafka)
- Experience with model serving frameworks and low-latency APIs
- Monitoring and observability tools (ELK or similar)
- Familiarity with A/B testing / experimentation frameworks
- Experience with LLM deployment and serving
- Knowledge of RBAC, security, and governance in data/ML platforms
- Experience in cloud environments (Azure preferred)
Responsibilities
- Design, build, and maintain production-grade ML pipelines on Databricks
- Operationalize ML models, including deployment, monitoring, and lifecycle management
- Build and maintain CI/CD pipelines for ML workflows
- Develop and manage real-time and streaming data pipelines
- Collaborate closely with Data Scientists to productionize models efficiently
- Implement model versioning, experiment tracking, and reproducibility
- Define and enforce ML best practices, governance, and quality standards
- Monitor model performance and data drift; implement automated retraining strategies
Qualifications
- Strong experience with Databricks (Workflows, MLflow, Delta Lake)
- Deep expertise in Apache Spark (batch and streaming)
- Advanced Python skills (production-quality code)
- Hands-on experience with streaming / real-time systems
- Proven experience designing and implementing CI/CD pipelines
- Strong understanding of the ML lifecycle (training, deployment, monitoring, retraining)
- Experience building scalable, distributed data and ML pipelines
Skills mentioned
About BrothersTech
Founded on nearly two decades of experience working with global organizations across technology, healthcare, manufacturing, and professional services, BrothersTech is a technology company focused on building intelligent solutions that help organizations operate smarter and grow faster. We understand the operational challenges businesses face as they scale and adapt to rapidly changing markets. Our mission is to use technology to solve those challenges in practical and meaningful ways. With the perfect blend of Human & Artificial Intelligence, data analytics, and modern software systems, we design solutions that improve how businesses manage operations, make decisions, and optimize their workforce strategies. By combining advanced technology with deep industry insight, we help organizations transform complex operational problems into scalable digital solutions. Today, BrothersTech works with clients across the US, UK, Europe, India, and Singapore, supporting initiatives in areas such as AI-powered systems, data-driven decision making, digital transformation, and operational intelligence. At our core, we believe technology should not just support business operations — it should actively drive innovation, efficiency, and long-term growth. Through a combination of intelligent systems, strong domain expertise, and a practical approach to problem-solving, BrothersTech helps organizations build smarter, more resilient operations.