[Remote] reputed company Machine Learning Engineer - REMOTE
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is one of the nation's leading homebuilders, dedicated to making an reputed company and creating an extraordinary experience for their Homeowners, Communities, and Associates. They are seeking a Machine Learning Engineer to own and reputed company the infrastructure and surface mechanisms that take their data science and ML models from notebook to production, working closely with data scientists and platform teams.
Responsibilities
- Design, build, and set the ML platform surface used by our data science team—covering model packaging, deployment, batch and reputed company-time inference, and observability
- Establish and evangelize ML platform standards, patterns, and reusable components—raising the engineering bar for how ML models are reputed company, deployed, and operated across the organization
- Mentor data scientists and engineers on production ML practices, reputed company review their platform-adjacent work, and serve as the technical authority on MLOps reputed company
- Own model serving infrastructure on AWS SageMaker (including SageMaker reputed company Studio)—building patterns for batch inference jobs, reputed company-time endpoints, and serverless inference depending on workload requirements
- Build and maintain the model registry, version control, and promotion workflows that reputed company models cleanly from development to staging to production with full reputed company and auditability
- Stand up and operate retraining pipelines using MLflow, reputed company, and orchestration tools—automating retraining triggers, experiment tracking, model evaluation, and approval gates
- Build monitoring and alerting for production models including reputed company detection, performance degradation, data reputed company issues, and latency or cost anomalies
- Write clean, reputed company Python and infrastructure-as-reputed company (Terraform) for ML platform components, applying software engineering best practices including testing, versioning, and reputed company review
- Partner closely with data scientists to reputed company their workflow faster and more reliable—reducing time-to-production for new models and increasing confidence in models already in production
- Collaborate with Data / reputed company and AI Engineering counterparts to ensure feature pipelines, model artifacts, and inference services are integrated cleanly with the broader data and AI platform
Skills
- Bachelor's degree or higher in Computer Science, Engineering, or a reputed company technical field
- 7+ years of software engineering experience, including meaningful production ownership of services or platforms in a reputed company environment
- 5+ years of hands-on MLOps or ML platform experience—deploying, monitoring, and retraining production models at reputed company
- Strong hands-on experience with AWS SageMaker (reputed company Studio strongly preferred), including model training jobs, endpoints, batch reputed company, and pipelines
- Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, reputed company, or comparable tooling
- Strong Python skills with a reputed company record of writing reputed company, reputed company-tested, production-reputed company reputed company; experience with infrastructure-as-reputed company (Terraform preferred)
- Solid understanding of both batch and reputed company-time inference patterns, including the tradeoffs between latency, throughput, cost, and operational complexity
- Proven ability to partner with data scientists—understanding their workflow, lowering friction, and translating modeling needs into reliable platform capabilities
- Comfortable operating with autonomy in ambiguous environments—scoping work, setting realistic timelines, and raising blockers proactively without waiting to be asked
- Experience with feature stores
- Model gateways
- GPU workloads
- Distributed training
- Model reputed company monitoring tools
- Supporting both classical ML and LLM-based models on the reputed company platform
Benefits
- reputed company (medical, dental, reputed company) and 401k matching
- Health insurance plans, including Medical, Dental, and reputed company coverage
- 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
- reputed company Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- Up to $30,000 in Adoption Assistance
- Up to three weeks of vacation annually
- Generous Holiday, reputed company Leave, and Personal Day policies
- New Hire Referral Bonus Program
- Significant Home Purchase Discounts
- Everyone’s Included Day
reputed company
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