Loka

Loka

Loka accelerates ideas into market-ready products with expertise in AI, data services, DevOps, cloud services, and healthcare consulting, focusing on accelerating product launches and innovation in AI and Machine Learning solutions.

Internet Software & Services
51-250
Founded 2004

Description

  • Analyze model errors and design strategies to improve performance.
  • Deploy, maintain, and upgrade ML models and pipelines.
  • Work across a modern tech stack in a fully remote, globally distributed team.
  • Collaborate with others in a startup-paced, team-oriented environment.
  • Apply statistical, machine learning, and deep learning methods to client projects.
  • Contribute to GenAI, NLP, big data, and MLOps work where relevant.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 2+ years of ML engineering experience.
  • Experience with Python, ML libraries, and AI/ML frameworks such as PyTorch, HuggingFace, or TensorFlow.
  • Excellent English for meetings, customer calls, and business communications.
  • CV written in English.
  • Curiosity and ambition to learn across different industries.
  • Autonomy, positivity, teamwork, and adaptability.
  • Experience with GenAI solutions, including prompt engineering, fine-tuning, serving LLMs, search, and embeddings (bonus).
  • Experience with MLOps, preferably in AWS such as SageMaker, and tools like MLflow (bonus).
  • Experience visualizing and manipulating big datasets or working in NLP (bonus).

Benefits

  • Every other Friday off, totaling 26 extra days off per year.
  • Remote and flexible work.
  • Explore and relocation programs, including three months working abroad or full international relocation.
  • Paid sick days and local holidays.
  • Business English classes.
  • Continuous learning support.
  • Fitness and/or mental health subscriptions.
  • Access to LokaLabs™, the internal research and development program.
  • Defined career path.

Interested in this position?

Apply directly on the company website

Apply Now

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