Senior machine learning engineer

Enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe. AI. AI’s product and platform strategy. Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe. AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe. AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe. AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. ~ 3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. ~ Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. ~ Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. ~ Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, Hugging Face, etc., and deploying/ maintaining scalable machine learning systems in production. ~ AI, and influence product development ~ Experience with Spoken Language Understanding is a plus ~ Excellent medical insurance options and free online doctor consultations Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Flexible benefit plans for tax exemptions (i.e. Our Commitment to Inclusion and Belonging Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. AI, we encourage you to apply.