About the role
Requirements:
- 5-8 years of hands-on experience in AI/ML engineering.
- Experience in deploying deep learning-based models for speech recognition pipelines.
- Awareness of state-of-the-art research in speech recognition and signal processing.
- Experience with large language models (LLMs) and their applications in agentic AI.
- Proficiency in programming languages such as Python and experience with machine learning frameworks like TensorFlow or PyTorch.
- Solid understanding of LLMs, prompt engineering, and NLP techniques.
- Experience with MLOps tools and cloud platforms (AWS/GCP/Azure).
- Familiarity with Vector DBs, LangChain, and RAG pipelines is a plus.