AppGreat is one of the fastest growing global IT companies, supporting the highest tech organizations in the world with 5 offices: 2 in  Sofia, 1 in Plovdiv, 1 in Skopje and 1 in Bucharest.

We are walking with top talents and highly experienced management to ensure the world’s leading technology companies meet all the business challenges that the future holds.

We are AppGreat! We are a young and ambitious company like no other!

WHY JOIN OUR DREAM TEAM?

The most important part of AppGreat is the team. From our founders to the last person, we are committed to creating a pleasant environment and a place where everybody feels like they belong.

We invest in them in any way we can, starting from the amazing atmosphere in the office, unique benefits, and career growth opportunities.

We are seeking a skilled Speech Engineer to join our team and make productization of cutting-edge machine learning models in the Audio domain (ASR, SpeakerID, LangID, noise reduction) and many other things on top of it. This role demands expertise in designing, developing, and deploying speech processing systems in production environments. 

RESPONSIBILITIES: 

• Monitoring and Debugging (Grafana, log analysis, production monitoring)
• Develop/wrap, optimize, and deploy modern ASR engines (end-to-end neural networks, finite-state transducers, etc).
• Perform audio signal processing.
• Measure and improve key ASR performance metrics such as WER, latency, F1 score, and EER
•  Deploy ML models in production environments.
• Optimize models for inference, including GPU acceleration.
• Write clean, maintainable, and testable code in Python (95%) and C++ (5%).
• Build docker images by installing various Ubuntu packages, and installing/upgrading Python and pip packages.
• Develop and integrate components together. Experience with gRPC and WebSockets interfaces would be useful.

REQUIREMENTS:

• Bachelor’s degree in Data Science, Computer Science, or related degree;
• Speech Engineering: Experience with processing audio files and audio streams, working with audio buffers. Utilize tools like FFmpeg and other audio-processing toolkits.
•  Experience with using PyTorch in Production.
•  Experience developing and deploying to Cloud (AWS/GCP/Azure)
•  Experience with CI/CD and Workflow Automation, such as Circle CI/Jenkins/Github Actions

NICE TO HAVE:

• Knowledge of serverless technologies, such as Lambda functions, API Gateway, etc.
• Knowledge of SageMaker and other MLOps tools.
• Experience with DVC for data version control.
• Experience in training ML models will be beneficial.

OUR OFFER:

• Attractive remuneration package;
• Excellent career growth opportunities;
• Flexible option for remote work;
• 25 days annual leave, plus an additional day for your birthday on top of that;
• A social package that includes additional medical insurance, sports club card, Netflix or Spotify subscription, company events, and many others;
• Comprehensive training and development programs!