AI Research Engineer - Voice Technologies
PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry. We provide certification and licensing of our products, providing customers and partners of the holding with high-quality and reliable solutions.
We are looking for an AI researcher & engineer to join our team.
Requirements:
- 3+ years of hands-on AI/ML research & implementation experience, with a focus on voice-to-text and voice-to-voiceapplications
- Strong expertise in Python for data science and ML
- Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning, NLP, reinforcement learning)
- Familiarity with speech-specific frameworks (e.g., Mozilla DeepSpeech, OpenAI Whisper)
- Solid understanding of data structures, algorithms, and software engineering principles
- Experience with AWS (ec2, lambda, sagemaker,eks)
- Knowledge of containerization (e.g., Docker, Kubernetes) for research environments
- Experience with MLOps tools and principles (w&b tensorrt, optuna)
Will be plus:
- Familiarity with probabilistic graphical models, causal inference, or Bayesian methods
- Background in ethical AI and fairness for speech data
- Experience with quantum ML or neuromorphic computing
- Contributions to open-source projects related to agentic workflows or speech ML
- Proficiency in LLM orchestration frameworks (e.g., LlamaIndex, LangChain) and agentic workflows
Soft skills:
- Excellent problem-solving and analytical skills
- Strong communication abilities, capable of bridging technical and non-technical stakeholders
- Proactive approach to learning new technologies and methodologies
- Ability to work effectively in cross-functional teams
- Attention to detail and commitment to code quality
- Time management skills and ability to handle multiple projects
Responsibilities:
- Research and develop voice-centric AI models (speech recognition, TTS, spoken language understanding)
- Design and implement experimental ML models for chatbots, affiliate marketing, traffic optimization, and recommender engines
- Create and deploy production-ready agentic workflows leveraging advanced LLM orchestration patterns
- Collaborate with data engineers and developers to prototype and test new AI solutions
- Stay updated on latest AI/ML research, particularly in speech and LLM domains
- Ensure compliance with ethical AI principles and relevant regulations
- Contribute to AI research publications and foster innovation within the team
Tech stack:
- Languages: Python (primary)
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn
- Speech/Voice: Mozilla DeepSpeech, OpenAI Whisper, Hugging Face Transformers
- LLM Frameworks: Hugging Face Transformers, LlamaIndex,
- Cloud: AWS (SageMaker, Bedrock, Polly, Comprehend, Lex)
- Containerization: Docker, Kubernetes
Our benefits to you:
☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🧑🏻💻Modern corporate equipment based on macOS or Windows and additional equipment are provided
🏖Paid vacations, sick leave, personal events days, days off
💵Referral program — enjoy cooperation with your colleagues and get the bonus
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
🎯Rewards program for mentoring and coaching colleagues
🗣Free internal English courses
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🎳Other benefits could be added based on your location