Hope you are doing great !!!
I came across your resume while searching for Machine Learning and would really like to schedule a time to talk with you about this role as well as your current career goals to get a better understanding of what is most important to you when looking at new opportunities. Please email me a time when you are available and send me the most updated resume of yours.
Position Machine Learning
Duration Fulltime
Location Houston, TX
Roles and Responsibilities:
I came across your resume while searching for Machine Learning and would really like to schedule a time to talk with you about this role as well as your current career goals to get a better understanding of what is most important to you when looking at new opportunities. Please email me a time when you are available and send me the most updated resume of yours.
Position Machine Learning
Duration Fulltime
Location Houston, TX
Roles and Responsibilities:
- As an ML Engineer in the MLOps team you will be a key stakeholder and own responsibility in operationalizing and monitor machine learning models using high-end tools and technologies.
- Data Science quality assurance and testing
- Monitoring and troubleshooting of in-production ML models and tools
- Execute best practices in version control and continuous integration/delivery
- Collaborate with data scientists, data engineers, and other key stakeholders
- Work well in a fast-paced cross-functional environment Skills
- 8+ years of overall experience
- Good Programming skills (Python/R)
- Experience with Machine learning frameworks, libraries, and agile environments using popular frameworks like SparkML, TensorFlow, PyTorch, Scikit-Learn, Prophet etc.
- Experience in deploying machine learning solutions using Azure DevOps, Azure ML etc.
- Experience in CICD pipeline implementation.
- Experience in implementing end to end machine learning life cycle on Azure / Databricks platforms
- Experience with version control tools such as Git, Bitbucket, Azure DevOps etc.
- Experience with MLflow Tracking, Projects, Registry and Models.
- Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools.
- Outstanding analytical and problem-solving skills