Machine Learning Architect
3 days ago
W3R Consulting is seeking a seasoned Machine Learning Architect to spearhead the development of secure, automated deployment pipelines and enhance MLOps capabilities.
We offer a competitive salary in the range of $140,000 - $200,000 per year, depending on experience.
About the Role:
The Senior Machine Learning Engineer will play a key role in engineering, change management, and mentoring team members in MLOps best practices.
Key Responsibilities:
- Design and implement secure, automated ML deployment pipelines using AWS SageMaker.
- Train and mentor team members on MLOps tools and processes.
- Implement advanced MLOps capabilities, including MLFlow, A/B testing, real-time endpoints, and Model Risk Management automation.
- Balance technical implementation with change management and training.
Requirements:
- 3-5+ years of experience in machine learning and MLOps.
- Proven expertise in AWS SageMaker and end-to-end ML model development.
- Familiarity with data integration using IBM DB2, Snowflake, or similar.
- Strong CI/CD pipeline and DevOps tools experience.
Must-Have Technical Skills:
- Amazon SageMaker
- Ci/Cd
- DevOp tools like Jira, Terraform, GitHub, or Jenkins
- Docker
- Experience in a highly regulated industry such as Banking/Financial/Healthcare
- Github
- Python
- SQL
- Terraform
Nice To Have:
DBT, Java, Snowflake
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