Lead Machine Learning Engineer

About UsObserve.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy,Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful.Why Join UsAt Observe.AI , you’ll be at the forefront of transforming customer experiences by building industry-leading NLP and Speech AI systems that power real-world products for Fortune 500 enterprises. As part of our 30+ member world-class ML team, you’ll work on cutting-edge research and production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers. You’ll have the opportunity to push boundaries in NLP/LLMs, publish in top conferences, and influence both product and platform strategy. Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in handWhat you’ll be doingDesign & develop state-of-the-art AI capabilities end-to-end from conception 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 Large Language Models and related emerging technologies.Contribute to both ML modelling as well as building/ maintaining production systems that power AI capabilities on the product.Optimize ML models and processing pipelines for performance, cost-effectiveness, and scaleWork with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform.Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.What you’ll bring to the roleBachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP.5+ years of industry experience in building large-scale NLP systems.Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications.Good understanding of recent trends in NLP around transformers, language models, text classification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc.Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch,Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production.Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product developmentExcellent communication, collaboration skills, and presentation skills.Experience with Spoken Language Understanding is a plusPublished papers in top NLP conferences or workshops are a plusRelevant open-source contributions are a plus.Compensation, Benefits and PerksExcellent medical insurance options and free online doctor consultationsYearly privilege and sick leaves as per Karnataka S&E ActGenerous holidays (National and Festive) recognition and parental leave policiesLearning & Development fund to support your continuous learning journey and professional developmentFun events to build culture across the organizationFlexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)Our Commitment to Inclusion and BelongingObserve.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. 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. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit .