Remote Senior Machine Learning Engineer

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Description:

  • Loka, a globally distributed tech consultancy based in Silicon Valley, is looking for a Senior Machine Learning Engineer to join their team.
  • The role involves designing and implementing machine learning solutions across various projects, focusing on ML algorithms, DL, and Foundation Models.
  • The engineer will work on developing robust, scalable systems and continuously improving them over time.
  • Responsibilities include understanding business objectives, wrangling and visualizing data, analyzing model errors, deploying and maintaining ML models, and staying updated with industry trends.
  • The position also entails leading client communications, mentoring junior colleagues, collaborating with cross-functional teams, and optimizing models for performance and cost-effectiveness.
  • The engineer will report to ML leads and follow Loka's career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication, and teamwork.

Requirements:

  • 4+ years of ML engineering experience and a Bachelor’s degree in Computer Science or related field are required.
  • Excellent English proficiency is a must.
  • Experience with Python, ML libraries, and AI/ML frameworks like PyTorch, HuggingFace, and TensorFlow is necessary.
  • Familiarity with building GenAI solutions using LLMs, client-facing experience, and knowledge of containerization and orchestration tools are essential.
  • Additional requirements include a clean criminal record and submitting a CV in English.

Benefits:

  • Every other Friday off, providing 26 extra days off per year.
  • Remote and flexible work environment.
  • Explore and Relocation programs offering three months of work abroad or full international relocation.
  • Paid sick days and local holidays.
  • Premium mental health subscriptions and mental wellness programs.
  • Access to LokaLabs™, the internal research and development program, and the LokaLabs incubator.
  • Fitness subscription and a defined career path for growth opportunities.
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