Remote Otter LogoRemoteOtter

Senior Data Scientist/Machine Learning Engineer - Ultralab - Remote

Posted Yesterday
Software Development
Full Time
Worldwide

Overview

This role involves leading AI-first prototypes at Turing’s UltraLab, focusing on machine learning and client engagement.

In Short

  • Lead the architecture of AI prototypes across various projects.
  • Act as a trusted advisor with strong client-facing skills.
  • Drive innovation in GenAI exploration.
  • Collaborate with cross-functional teams for impactful solutions.
  • Mentor junior scientists and engineers.
  • Design evaluation pipelines for GenAI use cases.
  • Contribute to thought leadership through blogs and whitepapers.
  • Work in a fast-paced R&D environment.
  • Engage with executive stakeholders for project alignment.
  • Utilize strong Python skills and MLOps practices.

Requirements

  • 8–12 years of relevant experience in AI/ML.
  • Strong background in supervised/unsupervised ML.
  • Expertise in PyTorch, TensorFlow, or similar frameworks.
  • Experience with client-facing roles and stakeholder management.
  • Proven experience in designing RAG pipelines.
  • Strong communication skills.
  • Familiarity with cloud environments like AWS/GCP/Azure.
  • Experience in hybrid ML+LLM solutions.
  • Knowledge of ethical AI deployment practices.
  • Ability to work collaboratively in a team setting.

Benefits

  • Collaborative and supportive work environment.
  • Competitive compensation.
  • Flexible working hours.
  • Full-time remote opportunity.
  • Work with top talent from leading tech companies.

Turing

Turing

Turing is a dynamic and innovative startup focused on enhancing the vetting and evaluation processes for candidates in the tech industry. The company is dedicated to building robust systems that streamline operations and ensure the quality of its large language model (LLM) delivery pipeline. With a strong emphasis on full-stack development, Turing fosters a collaborative environment where engineers work closely with product managers, data scientists, and human operations teams to create impactful solutions. The fast-paced nature of the startup allows team members to take on diverse roles and drive initiatives that significantly influence product and business outcomes.

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