AI/ML Engineer

7 hours ago

Mumbai, Maharashtra, India ReachIvy Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description: AI/ML Engineer

Location:
Nariman Point, Mumbai, India (On-site)

Reach Education Pvt. Ltd. is an educational services firm based in Mumbai, India. We are a premium higher education advisory firm founded by HBS (MBA'2010) and CMU (Tepper'2003) alum Vibha Kagzi, and we focus on the higher education space in India. ReachIvy ) is focused on counselling students targeting top-tier schools internationally.   

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 (STT), 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, 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 (STT)
    ,
    text-to-speech (TTS)
    , or
    voice biometrics
    .
  • Familiarity with
    LLMs
    and conversational AI frameworks.
  • Frontend and backend development exposure
    (React, , , FastAPI, etc.) to collaborate closely with product teams.
  • Experience with databases
    (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.

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