{"id":125148,"url":"https://alion.io/job/nuplay-ai-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":47330,"name":"NuPlay AI","domain":"nuplay.ai","url":"https://alion.io/company/nuplay-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3000000,"max":4500000,"currency":"INR","period":"year","gross":null,"usd_annual":46454},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorFlow","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Voice Agents","optional":false}],"status":"live","first_seen_at":"2026-07-10T06:27:39Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-17T02:33:26Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":97},"description":"Machine Learning Engineer\nLocation - Bangalore, Onsite\nAbout Us\nAt Nurix AI, we envision a world powered by super-intelligent AI agents that transform how businesses engage with customers. Our cutting-edge AI agents do more than just solve problems, they create opportunities. From suggesting next purchases to boosting revenue while maintaining customer satisfaction, to analyzing vast datasets for actionable insights, our technologies shape your business and product strategies. By resolving queries with precision and delivering highly personalized interactions, we redefine the customer experience and drive measurable impact.\nNurix.ai is at the forefront of AI innovation, developing cutting-edge AI and LLM solutions to enhance productivity and automation. Backed by $27.5M in seed funding, we are building next-gen AI-driven applications that redefine human-machine collaboration. We are looking for a Technical Lead to spearhead our AI engineering efforts and drive product innovation.\nWe are pioneering the AI revolution as India’s first scaled AI services company. We deliver cutting-edge AI and LLM solutions tailored for the dynamic needs of the modern world. Backed by robust funding we are a vibrant, young team set on redefining technological boundaries. Join us in shaping the future.\nJoin us in building the future, where every interaction is smarter, faster and more impactful.\nAbout the Role\nAs a Machine Learning Engineer at Nurix AI, you will play a pivotal role in solving some of the hardest challenges in conversational AI. You’ll work on building robust ASR/TTS systems for multilingual Indian contexts, designing guardrails that go beyond IVR-like flows, and ensuring real-time, low-latency conversational agents that can handle human pauses and interruptions. This role is ideal for engineers who want to push the boundaries of speech, LLMs, and agentic AI in production at scale.\nKey Responsibilities\nSpeech & Voice Systems\nDesign, train, and optimize custom ASR/TTS models to overcome limitations of Sarvam ASR and improve accuracy across Indian multilingual settings.Build conversational agents that can handle interruptions, natural pauses, and real-world voice variability without breakdowns.\n\nCore ML/AI Development\nContribute to Voice-to-Voice (V2V) systems using state space models Develop Agentic RAG pipelines and LLM orchestration for intelligent, context-aware voice agents.\nWork on self-learning agents capable of continuous improvement by observing human workflows and feedback\n\nEngineering & Deployment\nCollaborate with MLOps to bring models into real-time, low-latency production environments.Ensure scalability, security, and reliability of deployed ML systems.\n\nCollaboration & Research\nPartner closely with product and engineering teams to deliver production-ready features.Stay on top of the latest advances in ASR, TTS, NLP, LLMs, and real-time inference frameworks-and apply them to Nurix’s roadmap.\n\nWhat we’re looking for:\nBachelor’s degree in Computer Science, AI/ML, or related field.\n4+ years of hands-on ML engineering experience, with a focus on speech/NLP systems.\nStrong expertise in ASR, TTS, NLP, LLM fine-tuning, or dialogue systems.\nProficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).\nExperience in designing low-latency, real-time ML applications.\nStrong understanding of ML lifecycle, evaluation, and deployment practices.\nContributions to open-source ML projects or research publications.\nPrior work on multilingual or Indian-context ASR/TTS systems.\nWhy Nurix:\nWork at the cutting edge of AI and enterprise technology\nBe part of a mission-driven, high-growth startup\nDirect impact on products used by large-scale enterprise clients\nA vibrant and dynamic work 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