Job Description
<p><p>As an ML EngineerI, you will play a pivotal role in leading and mentoring a team of talented ML engineers and researchers.<br/><br/> You will shape the technical vision for our core AI components, drive execution of our ambitious Voice AI roadmap, and deliver high-impact ML solutions.<br/><br/> This role demands a strong balance of deep technical expertise, leadership skills, and innovation mindset in the AI space.</p><p><br/></p><p><b>Key Responsibilities :</b></p><p><br/></p><p>- Provide technical leadership and direction for major ML initiatives, including custom ASR/TTS, V2V development (with SSMs like Mamba, Hamba), Agentic RAG systems, and LLM orchestration.<br/><br/>- Foster a culture of growth, learning, and high performance within the ML team.<br/><br/>- Oversee the end-to-end ML project lifecycle: ideation, research, development, deployment (with MLOps), and iteration.<br/><br/>- Drive architectural decisions to ensure scalability, reliability, and real-time performance for voice AI applications.<br/><br/>- Collaborate with product, engineering, and business stakeholders to define requirements, priorities, and deliverables.<br/><br/>- Stay updated on advancements in speech AI, NLP, and LLMs; champion their adoption where relevant.<br/><br/>- Design and implement research & development roadmaps for next-generation Voice AI, including multilingual and V2V capabilities.<br/><br/>- Contribute to hiring and building a world-class ML :</b></p><p><br/></p><p>- Bachelors Degree in Computer Science or related field.<br/><br/>- 4+ years of hands-on experience in machine learning, with proven leadership or senior technical contributions.<br/><br/>- Demonstrated success in delivering complex ML projects into production.<br/><br/>- Expertise in at least one domain: ASR, TTS, NLP, Dialogue Systems, LLMs, or RAG.<br/><br/>- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.<br/><br/>- Strong understanding of ML system design, evaluation, and MLOps principles.<br/><br/>- Experience in leading, mentoring, and guiding technical teams.<br/><br/>- Excellent problem-solving, analytical, and communication Qualifications :</b></p><p><br/></p><p>- Masters or PhD in Computer Science, AI, or related fields.<br/><br/>- Hands-on work with State Space Models (SSMs) and advanced sequence modeling.<br/><br/>- Experience deploying real-time, low-latency ML systems (e.<br/><br/>, Triton, Nvidia Riva, SGLang, vLLM).<br/><br/>- Familiarity with cloud platforms (AWS, GCP, Azure) and ML services.<br/><br/>- Contributions to ML research or open-source projects.<br/><br/>- Experience in developing multilingual AI solutions</p><br/></p> (ref:hirist.tech)