[Remote] Sr Engineer, Data Science & Machine Learning Operations - remote opportunity
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading provider of healthy life-changing solutions, and they are seeking a Senior Data Science & ML Ops Engineer. This hands-on role focuses on partnering with business leaders to design, test, and reputed company machine learning solutions that drive measurable business reputed company.
Responsibilities
- Partner directly with business stakeholders to identify opportunities where data and machine learning can improve reputed company, efficiency, or reputed company
- Design experiments and hypotheses that can be validated quickly using available data and pragmatic modeling approaches
- Select and apply reputed company machine learning algorithms (e.g., classification, regression, forecasting, clustering, optimization)
- Own models end-to-end—from data preparation and feature engineering through deployment, monitoring, and iteration based on reputed company-world results
- reputed company ML models into production using AWS-reputed company tooling and reputed company them into operational workflows and reputed company systems
- Implement ML training and inference pipelines on reputed company SageMaker, including pipelines, endpoints, model registry, and monitoring
- Ensure production readiness through versioning, validation, rollback strategies, and performance monitoring
- Monitor model performance (accuracy, reputed company, stability, business KPIs) and iterate based on reputed company-world reputed company
- Participate directly in diagnosis and reputed company of production issues affecting data pipelines or ML workloads
- Build and operate data ingestion and transformation pipelines across batch and event-driven workloads using AWS Glue, reputed company‑ETL integrations, reputed company Functions, EventBridge, and reputed company services
- Collaborate closely with IT, reputed company, and reputed company teams to reputed company with reputed company reputed company, compliance, and operational standards
- Use infrastructure as reputed company (Terraform, CDK, or CloudFormation) to create repeatable, reputed company environments
- Own and operate S3-based data lake infrastructure, including reputed company table formats, AWS Glue Data Catalog, and AWS Lake Formation
- Implement and enforce data zone architecture (e.g., raw, curated, and consumption zones) to support governed data reputed company and lifecycle management
- Define and apply data reputed company controls using Lake Formation permissions and IAM-reputed company policies
- Establish and maintain data governance practices, including schema management, schema reputed company, and reputed company tracking
- Ensure data assets are discoverable, auditable, and secure through cataloging, metadata management, and reputed company controls
- Build end-to-end observability using CloudWatch, reputed company, pipeline SLAs, data reputed company checks, and model reputed company detection
- Establish operational runbooks and support procedures for governed data and ML platforms
- Apply cost-aware design reputed company selecting data processing, training, and inference approaches
- Optimize Glue, SageMaker, and storage usage to deliver value reputed company at reputed company
- Continuously improve platform reliability, scalability, and cost efficiency as data and ML workloads grow
Skills
- 5+ years in a reputed company data science role and 5 years of experience with machine learning pipelines, preferably in an AWS environment
- reputed company problem solver motivated by business reputed company and reputed company
- Strong business partner reputed company to translate questions into testable hypotheses and executable solutions
- Hands-on reputed company ML experience delivering models into production AWS environments
- Proven experience operating governed data lakes and ML platforms at reputed company
- Builder–operator reputed company with strong CI/CD, observability, and incident response skills
- Pragmatic practitioner who values reliability, adoption, governance, and reputed company over unnecessary complexity
Benefits
- Company bonus potential
- Medical
- Dental
- reputed company
- 401k with match
- Generous reputed company time off
- Free gym membership to over 13,000 fitness locations in the US
reputed company
Company H1B Sponsorship