AI / ML Lead

Location: Bengaluru, India

Department: Machine Learning

Experience: 6 - 10 years

Who are we?

What is this role all about?

Sounds interesting?

• You will lead the design, development, and deployment of Generative AI models, LLMs, and transformer-based architectures for CX-focused products
• You will define and own scalable ML architectures and pipelines for data processing, training, evaluation, and production deployment
• You will mentor and guide ML engineers, setting best practices for model development, optimization, and production readiness
• You will optimize model inference using frameworks like vLLM, Triton, and TensorRT to improve performance and reduce latency
• You will work on multimodal AI systems, including audio, image encoders, vision-language models, ASR, and TTS
• You will collaborate closely with product, engineering, and data teams to translate business needs into robust, scalable AI solutions

What does success look like in this role?

What would make you a good fit for this role?

• You have 8+ years of hands-on experience building and deploying ML or deep learning models, with experience leading or mentoring teams
• You hold a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
• You are comfortable working in fast-paced, product-driven environments
• You bring strong problem-solving, technical leadership, and cross-team collaboration skills
• What are the most critical skills for this role?
• You have strong programming skills in Python and experience with PyTorch, TensorFlow, or JAX
• You have a deep understanding of transformers, LLMs, attention mechanisms, and GenAI training pipelines
• You have hands-on experience with model optimization, GPU acceleration, and inference frameworks
• You can train, fine-tune, evaluate, and productionize large-scale deep learning and GenAI models

You will have an advantage if you:

• Have worked with vLLM, Triton, TensorRT, or similar high-performance inference systems
• Have experience building or integrating ASR (speech-to-text) and TTS (text-to-speech) systems
• Have hands-on exposure to multimodal architectures involving vision, language, and audio
• Have deployed ML models on AWS, GCP, or Azure

Why should you be interested?

• Ownership of high-impact GenAI systems used by global enterprise customers
• The opportunity to shape the AI/ML roadmap for a fast-growing SaaS platform
• Exposure to cutting-edge AI research applied to real-world CX problems
• A collaborative environment that values technical depth, leadership, and innovation

Does this sound like you?