Lead Machine Learning Engineer - Nlp Job in Observe.ai Networks Private Limited

Lead Machine Learning Engineer - NLP

Location: Bengaluru

About Us: Observe.AI

Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business.

Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management.

Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel.

Why Join Us

You will be 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.

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, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy.

What you ll be doing

• 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.
• Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities.
• 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.

What you ll bring to the role

• Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU.
• An engineering mindset with the competencies of an applied scientist.
• 5+ 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.
• 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, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production.
• Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development.
• Excellent communication, collaboration skills, and presentation skills.
• Experience with Spoken Language Understanding is a plus.
• Published papers in top NLP/ NLU conferences or workshops are a plus.
• Relevant open-source contributions are a plus.

Perks & Benefits

• Medical Insurance: Excellent options and free online doctor consultations.
• Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies.
• Learning & Development fund to support your continuous learning journey and professional development.
• Fun events to build culture across the organization.
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.).