MLOps Data Engineer
San Francisco
nSight Surgical
As the MLOps Data Engineer, you will be responsible for designing and building the MLOps pipelines. You enjoy automating tasks and documenting your work to benefit others. From monitoring the complex ML models in production to improving best practices, prioritizing multiple issues, and troubleshooting complex problems, you’re ready to contribute to the architecture of a unified infrastructure system.
Our platform focuses on managing different components of the machine learning application development life cycle, starting from data ingestion, annotation, and exploration to model training, deployment, and monitoring.
Our engineers are self-motivated problem solvers who enjoy being versatile. We adore diversity and encourage healthy debate and discussion.
What We Need Your Help With:
- Design and build MLOps pipelines for data ingestion, selection, auto-ml, experimentation, optimization, continuous integration, deployment, verification, validation, and monitoring of ML models in production while following best practices of automation, monitoring, scale, and safety.
- Contribute to the architecture of a unified infrastructure system that bridges the gap between Data, ML, CI/CD, and Evaluation frameworks, improving the stability, security, efficiency, and scalability of the system.
- Evaluate the latest tools and frameworks in the ML ecosystem and help improve code quality through writing unit tests, automation, and performing code reviews.
- Identify patterns of data ingestion and pipeline issues and propose short and long-term solutions while working collaboratively with the computer vision team.
- Enable the CV teams to continuously experiment with new data and provide data and infrastructure support.
What We Look For:
- Masters or Ph.D. in Computer Science, Electrical Engineering, Statistics, or related technical field with at least 2+ years experience after graduation.
- Passion for automation by creating tools using Python.
- Expertise in MLOps infrastructure, machine learning model development, and deployment lifecycle.
- Experience with MLOps Frameworks like MLFlow, Kubeflow, DataRobot, Airflow, etc.
- Strong programming skills in Python or C/C++, with relevant experience in building AI applications using deep learning platforms like PyTorch or TensorFlow on GPUs
- Knowledge of basic statistical techniques (t-tests, confidence intervals, p-value, etc.).
- Experience building ML pipelines in a high-impact role, with years of AWS experience.
- Ability to design and implement cloud solutions, including building MLOps pipelines on cloud platforms such as AWS, MS Azure, or GCP.
- Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment.
Nice to Have:
- Experience working with medical data.
- Understanding of healthcare or HIPAA-compliant systems.
- Experience with Docker, CI/CD build systems like Jenkins/Team City, and AWS services like S3, DynamoDB, EC2, ECR, lambda, etc.
- Proficiency in data visualization and dashboarding tools such as Superset, Elasticsearch and Kibana, Grafana, and Tableau
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure CI/CD Computer Science Computer Vision DataRobot Data visualization Deep Learning Docker DynamoDB EC2 Elasticsearch Engineering GCP Grafana Kibana Kubeflow Lambda Machine Learning MLFlow ML models MLOps Model training Pipelines Python PyTorch Security Statistics Superset Tableau TensorFlow Testing
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs