AI/ML Engineer
1 day ago
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 ) 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 (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, , , 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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