Semi Senior Nlp Engineer in Fusemachines

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Fusemachines is a leading AI strategy, talent, and education services, provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Job functions

  • Support the optimization and integration of conversational AI engines into voice products
  • Together with other team members to define required spoken language data for training and testing the AI engines with new voice product features.
  • Collaborate closely with product and sales teams about product spec, tech performance, and limitations and provide recommendations for use cases
  • Excellent written and verbal communication skills

Qualifications and requirements

  • At least 4 years of experience in the natural language field
  • At least 5 years of professional experience in using ML toolkits, such as Tensorflow, PyTorch, etc to develop high-performance ML models and practical language products
  • Hands-on working experience with real-time conversational AI engines, including dialog systems, and able to integrate the latest development quickly
  • Hands-on development experience in translating ML-based NLP prototypes into product quality code
  • In-depth knowledge of state-of-art traditional machine learning and deep learning algorithms
  • Deep and broad understanding of state-of-art conversational AI systems
  • Ability to research ML frameworks/technologies and capable of leveraging them in working prototypes for adoption recommendations.
  • Strong programming skills in Python, C, or C++
  • Proficient understanding of code versioning tools, such as Git.
  • Good knowledge about embedded spoken language systems

Conditions

Fully remote You can work from anywhere in the world.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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