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Senior AI Engineer Position Available
2 weeks ago
About Us
">Transforming Customer Experiences 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,we turn every interaction into a driver of loyalty and growth.
Why Join Our Team
- We're at the forefront of building industry-leading NLP and Speech AI systems that power real-world products for Fortune 500 enterprises.
- 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.
What You'll Be Doing
- Design & develop state-of-the-art AI capabilities end-to-end from conception to production for our 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 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 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 our 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 Role
- Bachelor'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 us, and influence product development.
- Excellent communication, collaboration skills, and presentation skills.
- Experience with Spoken Language Understanding is a plus.
- Published papers in top NLP conferences or workshops are a plus.
- Relevant open-source contributions are a plus.
Compensation, Benefits and Perks
- Excellent medical insurance options and free online doctor consultations.
- 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.).
Our Commitment to Inclusion and Belonging
We're an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do 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. We also strive for a healthy and safe workplace and strictly prohibit harassment of any kind.