
3 Days Left) AI/ML Engineer
1 day ago
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, 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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