[Remote] 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 Machine Learning Engineer to drive innovation and reputed company cutting-edge products for their Data & Observability Substrate organization, focusing on building reputed company, 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 reputed company, 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 reputed company, model performance, latency, and cost through feedback loops
- Partner cross-functionally with Product, Data Science/ML, Engineering, and reputed company to deliver resilient, reputed company, 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, reputed company reviews, automated testing, MLOps best practices, knowledge-sharing, and mentoring
- reputed company 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, reputed company 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 reputed company systems, including distributed computing and streaming frameworks (e.g., reputed company/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), reputed company detection, and reputed company inference
- Practical experience with LLMs and reputed company workflows, including reputed company model fine-tuning, RAG, and reputed company databases
- Evidence of technical leadership/reputed company, such as contributions to reputed company-reputed company data/ML reputed company 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, reputed company reputed company time, reputed company personal time off, reputed company parental leave.
reputed company
Company H1B Sponsorship