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Artificial Intelligence / Machine Learning Engineer - Data Modeling

Artificial Intelligence / Machine Learning Engineer - Data Modeling

ReachIvy.comMumbai
13 hours ago
Job description

Job Description :

We are seeking a highly skilled AI / ML Engineer to join our team and drive the development of an AI-powered, voice-first product.

The ideal candidate will combine strong machine learning expertise with hands-on experience in building and integrating voice, speech, and natural language technologies using both open-source and commercial AI tools.

This role requires someone who thrives in fast-paced, product-driven environments, can work collaboratively across teams, and has the creativity to harness the latest AI advancements to deliver cutting-edge user experiences.

Key Responsibilities :

  • Voice AI Development : Build, train, and fine-tune models for speech-to-text (ASR), text-to-speech (TTS), speaker recognition, and conversational AI.
  • System Architecture : Design and implement end-to-end AI pipelines covering model training, testing, deployment, and monitoring.
  • Tooling & Integration : Leverage both open-source (Whisper, Hugging Face, VLLM, etc. ) and commercial APIs (OpenAI, ElevenLabs, etc. ) to accelerate development.
  • Collaboration : Work closely with product managers, designers, and engineers to bring AI-driven voice experiences into production at scale.
  • Experimentation & Innovation : Continuously research and evaluate state-of-the-art models, frameworks, and tools to maintain a competitive edge.
  • Deployment : Own deployment workflows in cloud and containerized environments ensuring scalability, reliability, and cost efficiency.
  • MLOps : Build workflows for continuous training, monitoring, and improvement of deployed AI systems.

Requirements : Must-Have :

  • Bachelor's / Master's in Computer Science, Data Science, AI / ML, or related field.
  • 3 - 6 years of experience in AI / ML engineering with a focus on speech or NLP applications.
  • Proficiency in Python and ML frameworks (Django, TensorFlow, PyTorch, Hugging Face).
  • Strong understanding of deep learning architectures (transformers, RNNs, CNNs) and optimization techniques.
  • Experience in deploying models in cloud and containerized environments (Docker, AWS / GCP / Azure).
  • Solid grasp of algorithms, data structures, and system design.
  • Nice-to-Have :

  • Hands-on experience with speech-to-text (ASR), text-to-speech (TTS), or voice biometrics.
  • Familiarity with LLMs and conversational AI frameworks.
  • Frontend and backend development exposure (React, Next.js, Node.js, FastAPI, etc.) to collaborate closely with product teams.
  • Experience with databases (SQL, NoSQL, vector databases, PostgreSQL).
  • Startup or fast-paced product-building experience.
  • Why Join Us ?

  • Build a cutting-edge, voice-first AI product from the ground up.
  • Freedom to experiment with the best AI tools available-free or paid.
  • Collaborate with a passionate, cross-functional team building next-gen AI solutions.
  • Opportunity to shape the AI / ML roadmap and drive innovation at scale.
  • (ref : hirist.tech)

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    Data Engineer • Mumbai

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