Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

AI/ML Engineer ReachIvy

3.0 - 6.0 years

0 Lacs

mumbai, maharashtra, 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&apos2010) and CMU (Tepper&apos2003) 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.?? 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 Bachelors/Masters in Computer Science, Data Science, AI/ML, or related field. 36 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 availablefree 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. Show more Show less

Posted 4 days ago

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