Artificial Intelligence/Machine Learning Engineer

4 days ago

Others, India ReachIvy (Reach Education Pvt. Ltd.) Full time ₹ 5,00,000 - ₹ 25,00,000 per year

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.

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, , , 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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