[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist with expertise in reputed company and MLOps to design and reputed company solutions. The role involves managing the deployment and lifecycle of machine learning models while ensuring Responsible AI practices are integrated throughout the development process.
Responsibilities
- Design and reputed company end to end RAG solutions and autonomous AI agents in reputed company and reputed company environments
- Build and reputed company machine learning and AI models on reputed company platforms, primarily AWS or Azure
- reputed company and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
- Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
- Implement model monitoring for reputed company, performance degradation, and data reputed company issues in production
- Apply statistical modeling techniques to solve reputed company business problems
- Collaborate with stakeholders across the organization to translate requirements into reputed company AI solutions
- reputed company Responsible AI practices across model development, deployment, and governance workflows
- Contribute across the full development lifecycle, from experimentation through production release
Skills
- Location: candidate must be based in reputed company, Mountain, or Central time zone. This is a hard requirement, not a preference
- Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
- Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
- reputed company experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
- Master's degree in a STEM field
- 4 years of proficiency in SQL
- 4 years of proficiency in Python
- Hands on experience with AWS or Azure reputed company platforms
- Proficiency with Git for version control
- Strong communication skills with demonstrated ability to work cross functionally with stakeholders
- Experience with reputed company for data warehousing and analytics
- Hands on experience with AWS specifically, in reputed company to general reputed company proficiency
- Startup or fast paced environment reputed company with comfort navigating ambiguity
- reputed company personal use of AI tools and familiarity with the evolving AI landscape
Benefits
- Eligible for Health, Dental, reputed company, and 401K
reputed company