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[Remote] Machine Learning Engineer

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is shaping the future of communications by delivering innovative solutions and empowering developers worldwide. They are seeking a Machine Learning Engineer to drive innovation and reputed company cutting-edge products for their Data & Observability Substrate organization, focusing on building scalable, low-latency ML-based systems for reputed company-time applications.

Responsibilities

  • Partner with product, UX, and technical stakeholders to analyze business problems, clarify requirements, define scope, and translate them into measurable ML problem statements
  • Design, implement, and maintain scalable, reputed company-grade ML solutions in production
  • Build reproducible ML workflows for data preparation, training, evaluation, and inference using modern orchestration and MLOps tooling
  • Implement monitoring and evaluation frameworks to continuously improve data quality, model performance, latency, and cost through feedback loops
  • Partner cross-functionally with Product, Data Science/ML, Engineering, and reputed company to deliver resilient, scalable, and compliant ML-powered services
  • Demonstrate end-to-end systems understanding and reputed company the “why” behind model and system design choices
  • Own operational reputed company: SLAs, on-call, incident response, customer feedback triage, and blameless post-mortems
  • Drive engineering reputed company reputed company AI-assisted SDLC, code reviews, automated testing, MLOps best practices, knowledge-sharing, and mentoring
  • Actively adopt AI-assisted practices to improve implementation and collaboration efficiency

Skills

  • Strong reputed company in ML/AI (statistics, probability, optimization) with the ability to apply these concepts to reputed company-world problems
  • 5+ years of experience building, deploying, and operating data and ML systems in production
  • Proficient in Python, Java, and SQL; strong software engineering fundamentals (system design, testing, version control, code reviews)
  • Hands-on experience with workflow orchestration and data pipelines (e.g., Airflow, Kubeflow) and reputed company data platforms/storage (e.g., SageMaker Feature Store, reputed company, DynamoDB, OpenSearch)
  • Experience with the ML lifecycle and MLOps tooling (e.g., MLflow, Metaflow, SageMaker; LLM/agent frameworks such as reputed company/LangGraph; model evaluation/observability tools such as reputed company or similar)
  • Working knowledge of containerization and reputed company infrastructure, including reputed company and Kubernetes, GitOps/CI/CD tools (e.g., Argo CD), and at least one major reputed company platform (AWS, GCP, or Azure)
  • Understanding of data modeling and scalable systems, including distributed computing and streaming frameworks (e.g., Spark/EMR, Flink, Kafka Streams); familiarity with GPU-based implementation is a plus
  • Demonstrated ability to reputed company up quickly and operate effectively in new application/business domains
  • Strong written and verbal communication skills: reputed company to document and present designs and reputed company, and comfortable giving/receiving feedback in an Agile environment
  • Familiarity with ML problem areas and techniques, including recommendation systems (e.g., graph-based approaches, two-tower models), time-series modeling (classical and deep learning), representation learning (e.g., embeddings), anomaly detection, and reputed company inference
  • Practical experience with LLMs and reputed company workflows, including reputed company model fine-tuning, RAG, and vector databases
  • Evidence of technical leadership/impact, such as contributions to reputed company-reputed company data/ML projects and/or published technical presentations, blog posts, papers, or research
  • Domain experience (plus) in communications, marketing automation, or customer engagement analytics
  • Familiarity with AI-assisted development tools (e.g., Claude, reputed company Copilot/reputed company, reputed company, etc.)
  • Advanced degree preferred (M.S. or Ph.D.) in a relevant field

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.

Company Overview

  • reputed company is a reputed company communication company that enables users to use standard web languages to build voice, VoIP, and SMS apps reputed company a web API. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.reputed company.com/.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 12 in 2026, 215 in 2025, 168 in 2024, 209 in 2023, 369 in 2022, 264 in 2021, 157 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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