Lead AI Engineer

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.