AI/ML Engineer
4 days ago
Role Overview
As an AI/ML Engineer at Plivo, you'll take a hands-on role in building and scaling production-grade AI models that power our global communications platform. Working closely with product and engineering teams, you'll design, train and deploy models that solve real-world problems in speech, language and voice automation at scale. This is a high-visibility, high-impact opportunity perfect for analytical, curious individuals who want to contribute meaningfully from Day 1. Key Responsibilities :
- Train, fine-tune and deploy AI/ML models for use cases like speech recognition, speaker isolation, turn detection across languages and verticals.
- Build scalable inference pipelines and integrate models seamlessly into production environments.
- Optimize models for latency, accuracy and throughput because this is real-time, global-scale AI.
- Analyze large datasets to identify patterns, surface improvements and drive model performance.
- Collaborate cross-functionally with engineering, product and data teams to deliver production-ready AI features.
- Explore and implement open-source frameworks, build internal AI tooling and stay ahead of the curve.
- Stay current with the latest trends in LLMs, generative AI and voice intelligence because we're always pushing the frontier.
- B.Tech in Computer Science, AI/ML, Data Science or a related field from a top engineering school.
- Strong theoretical understanding of ML algorithms, deep learning and model training.
- Proficiency in Python and experience with frameworks like PyTorch, TensorFlow or Hugging Face Transformers.
- Hands-on experience building models (e.g., NLP, ASR, TTS, embeddings, voice agents); Kaggle or competition experience is a strong plus.
- Solid experience in data processing, feature engineering and model evaluation techniques.
- Analytical mindset, bias for action and excellent communication and collaboration skills.
- Experience working in real-time systems and deploying models in production.
- Familiarity with MLOps tools and pipelines.
- Exposure to speech, voice or multimodal datasets.
- Contributions to open-source ML projects.
- Experience building models from scratch.
- You'll build AI models that power global-scale products used by top B2C brands.
- You'll work with real speech and language data at a massive scale.
- You'll join a fast-paced engineering culture with high ownership and internal autonomy.
- You'll be at the intersection of real-time systems and AI - rare and exciting.
- You'll be part of a culture that values innovation, experimentation and real business impact.
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