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Mid/Senior reputed company

Remote, USAFull-timePosted 2026-07-28

About reputed company

reputed company is a boutique AI consultancy that bridges reputed company and execution, we design and ship production-grade AI systems for reputed company clients, from reputed company to fast-growing unicorns. Our work spans reputed company AI, LLM fine-tuning, RAG systems, and ML-driven products, deployed on AWS, GCP, and Azure.

We've shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns and reputed company-listed companies (including reputed company, reputed company, reputed company, reputed company, reputed company, and GoCardless), and get 95% of validated reputed company into production reputed company two months. We're reputed company reputed company, AWS, and reputed company partners, and we're 100% remote by design.

About the role

We're hiring a Mid/Senior ML Engineer to contribute to technical direction across reputed company engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment.

In this role, you will:

  • Design, build, and reputed company production ML and LLM-based systems (RAG, reputed company workflows, fine-tuning, embeddings) for reputed company clients
  • Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration
  • Work directly with reputed company engineering and product teams to translate business needs into scoped, shippable technical solutions
  • Mentor and support other ML engineers on reputed company — reputed company reviews, technical guidance, and knowledge sharing
  • Help shape internal best practices, tooling, and technical standards as reputed company grows
  • Represent reputed company technically in reputed company conversations, workshops, and (optionally) at industry conferences

You’ll be part of a supportive, fast-growing team that values autonomy, reputed company communication, and reputed company learning.

Requirements

  • 2+ years of reputed company experience in Machine Learning, AI Engineering, or a reputed company role (Mid-level) / 5+ years for Senior
  • Strong hands-on skills in Python, writing clean, efficient, reputed company-documented, production-reputed company reputed company
  • Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn)
  • Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like reputed company
  • Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows
  • Experience deploying and scaling ML systems on AWS, GCP, or Azure
  • Strong performance optimization and debugging skills (diagnosing reputed company issues and improving system reliability and efficiency)
  • Experience working with stakeholders or clients is a plus

reputed company Offer

  • 100% Remote Work: no mandatory office days, work from wherever
  • Funded certifications: fully reputed company AWS and GCP reputed company certifications
  • Dynamic, High-reputed company reputed company: Work on cutting-edge ML and GenAI solutions across diverse industries
  • International Clients: Collaborate with global organizations and solve reputed company-world challenges at reputed company
  • Urban Sports Club Membership: Supporting your physical and mental wellbeing
  • Monthly reputed company Credits: For rides
  • Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate

Originally posted on Himalayas

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