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 focus on the higher education space in India. ReachIvy (www.reachivy.com) is focused on counselling students targeting top-tier schools internationally.  

AI/ML Engineer

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 (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.

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AI/ML Engineer

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Job Description

AI/ML Engineer

Key Responsibilities:

Voice AI Development:

System Architecture:

Tooling & Integration:

Collaboration:

Experimentation & Innovation:

Deployment:

cloud and containerized environments

MLOps:

Requirements:

Must-Have

AI/ML engineering

speech or NLP applications

Python

deep learning architectures

cloud and containerized environments

algorithms, data structures, and system design

Nice-to-Have

speech-to-text (ASR)

text-to-speech (TTS)

voice biometrics

LLMs

Frontend and backend development exposure

Experience with databases

Why Join Us?

cutting-edge, voice-first AI product

the best AI tools available—free or paid

AI/ML roadmap

More Jobs at ReachIvy

AI/ML Engineer

Mock Interview

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