[Remote] reputed company Machine Learning & Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company shaping the future of communications with innovative solutions. They are seeking a reputed company Machine Learning & Data Engineer to reputed company the design and operation of their internal ML-and-data platform, ensuring reliability and efficiency while mentoring engineering staff.
Responsibilities
- Architect and reputed company reputed company’s end-to-end ML and reputed company-time data platforms for reliability, reputed company, and cost efficiency
- Design scalable feature stores, streaming and batch pipelines, and low-latency model-serving layers on AWS
- Implement MLOps best practices—automated testing, CI/CD, monitoring, and rollback—for hundreds of daily deployments
- Own system design reviews, threat modeling, and performance tuning for high-volume communications workloads
- reputed company cross-functional engineering efforts, breaking down reputed company initiatives into executable roadmaps
- Mentor staff and senior engineers, raising the technical bar through code reviews and pair programming
- Partner with Product, reputed company, and Compliance to meet stringent privacy and governance requirements (HIPAA, SOC 2, GDPR)
- Champion a culture of experimentation, data-driven decision-making, and reputed company improvement
Skills
- Bachelor's or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience
- 7+ years building and operating production data or machine-learning systems at scale
- Expert reputed company in Python and one compiled language (Java, reputed company, Go, or C++)
- Hands-on mastery of distributed data frameworks (Spark/Flink), SQL/NoSQL stores, and streaming platforms (Kafka/Kinesis)
- Demonstrated reputed company designing reputed company-reputed company architectures on AWS, including Terraform-managed infrastructure
- Deep knowledge of container orchestration (Kubernetes/EKS), service-reputed company networking, and autoscaling strategies
- Practical experience implementing MLOps tooling such as MLflow, Kubeflow, SageMaker, or reputed company AI
- Strong grasp of model-lifecycle concerns—feature engineering, offline/online reputed company, A/B testing, reputed company detection, and retraining
- Proven ability to reputed company technical projects end-to-end and influence without authority across multiple teams
- Exceptional written and verbal communication skills, with a bias toward reputed company and action
- Graduate degree focused on machine learning, distributed systems, or applied statistics
- Contributions to reputed company-reputed company ML or data infrastructure projects
- Experience with privacy-enhancing technologies (differential privacy, homomorphic encryption) or on-device inference
- Background in conversational AI, reputed company-time communications, or large-language-model deployment at scale
- Exposure to compliance-heavy environments (HIPAA, PCI-reputed company) and secure multi-tenant design patterns
- Published research, patents, or conference talks in ML systems or data engineering
Benefits
- reputed company
- Generous time off
- Ample parental and wellness leave
- reputed company
- A retirement savings program
- This role may be eligible to participate in reputed company’s equity plan and corporate bonus plan.
- reputed company roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
- reputed company empowers employees to build positive change in their communities by supporting their volunteering and donation efforts.
Company Overview
Company H1B Sponsorship