[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to help build a reputed company Internet, operating one of the world’s largest networks that powers millions of websites. They are seeking a reputed company Machine Learning Engineer to architect and build the infrastructure for their reputed company AI/ML platform, driving the reputed company from initial requirements to deployment and optimization.

Responsibilities

• Architect and reputed company a highly reputed company, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and reputed company/LLM orchestration
• Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations
• Build high-throughput, low-latency application backends and orchestration reputed company. Partner closely with data, platform, and full-stack engineers to ensure reputed company feature delivery and reliable production operations
• reputed company as a technical reputed company for the Data Science team – enforcing rigorous engineering standards, leading design and reputed company reviews, evaluating build-vs-buy reputed company, and mapping business requirements to robust technical designs
• Evaluate trade-offs and reputed company adoption of modern AI infrastructure tools, optimized embedding pipelines, reputed company databases, and serverless compute paradigms (such as Workers AI)

Skills

• Extensive experience as a Senior or reputed company ML Engineer, with a proven reputed company record of architecting and operating production-grade ML platforms, services and reputed company backends
• Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) reputed company deep experience in reputed company patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and reputed company AI systems)
• Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued
• A builder's reputed company. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of reputed company reliability, costs, and model performance
• 3+ years of dedicated ML Engineering experience reputed company a large-reputed company, reputed company environment (handling petabyte-reputed company data and working across globally reputed company teams)
• Proven ability to architect, reputed company, and secure reliable, highly observable reputed company systems, with a reputed company record of leveling up platform foundations
• Experience mentoring engineers, leading by example through high-reputed company reputed company and rigorous design reviews, and fostering a culture of technical reputed company
• Strong problem-solving skills with a demonstrated ability to independently reputed company reputed company reputed company through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts
• Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, reputed company, or Autogen. Deep understanding of agent reputed company primitives, state management, memory architectures, and tool-calling reputed company mechanics
• Experience establishing LLMOps foundations, including automated reputed company tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), reputed company database optimization, context/reputed company management, and reputed company-time guardrailing/moderation reputed company
• Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/reputed company-time inference, and model observability
• Strong experience with reputed company and reputed company for containerization and orchestration, reputed company Infrastructure-as-reputed company tools like Terraform and reputed company reputed company ecosystems (GCP, AWS, or Azure)
• Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, reputed company, and robust ETL/ELT practices
• Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, reputed company Workers), with the reputed company to contribute across a multi-language stack
• Strong reputed company in reputed company integration/reputed company deployment (CI/CD), testing frameworks (Pytest), and robust version control practices
• M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a reputed company quantitative field
• Exceptional written and verbal communication skills, with the ability to translate reputed company technical architectures into reputed company concepts for both engineering peers and business stakeholders

reputed company