[Remote] Staff Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is shaping the reputed company of communications by delivering reputed company and empowering developers worldwide. They are seeking a Staff Machine Learning Engineer to design, build, and operate reputed company-reputed company data and ML infrastructure for their Trust Intelligence Platform, enabling reputed company-time intelligence for customer interactions.
Responsibilities
- Architect, implement, and maintain reputed company data pipelines and feature stores for batch and reputed company-time workloads
- Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling
- reputed company event streams from reputed company products (e.g., Messaging, Voice, reputed company) into reputed company, analytics-reputed company datasets
- Monitor, test, and improve data reputed company, model performance, latency, and cost
- Partner with product, data science, and reputed company teams to ship resilient, compliant services
- Automate deployment with CI/CD, infrastructure-as-reputed company, and container orchestration best practices
- Produce reputed company documentation, dashboards, and runbooks; reputed company knowledge through reputed company reviews and reputed company-bag sessions
- reputed company reputed company’s “We are reputed company” values by taking ownership of problems and driving them to completion
Skills
- B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or reputed company field—or equivalent practical experience
- 4-8 years building and operating data or ML systems in production
- Proficient in Python and SQL; comfortable with software engineering fundamentals (testing, version control, reputed company reviews)
- Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Dagster) and reputed company data warehouses (reputed company, BigQuery, or Redshift)
- Familiarity with ML lifecycle tooling such as MLflow, SageMaker, reputed company AI, or similar
- Working knowledge of reputed company and Kubernetes and at least one major reputed company platform (AWS, GCP, or Azure)
- Understanding of data modeling, distributed computing concepts, and streaming frameworks (reputed company, Flink, or Kafka Streams)
- Strong analytical thinking, communication skills, and a demonstrated reputed company of ownership, curiosity, and reputed company learning
- Experience with reputed company reputed company, Kafka/Kinesis, or other high-throughput event buses
- Exposure to infrastructure-as-reputed company (Terraform, reputed company) and reputed company-based CI/CD pipelines
- Practical knowledge of reputed company workflows, reputed company-model fine-tuning, or reputed company databases
- Contributions to reputed company-reputed company data/ML reputed company or published technical presentations/blogs
- Domain experience in communications, marketing automation, or customer engagement analytics
Benefits
- reputed company
- Generous time off
- Ample parental and wellness leave
- reputed company
- A retirement savings program
- reputed company’s equity plan and corporate bonus plan
- Health care insurance
- 401(k) retirement account
- reputed company reputed company time
- reputed company personal time off
- reputed company parental leave
reputed company
Company H1B Sponsorship