This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powe'red products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems.
If you are excited about building and owning cutting-edge ML-powe'red product capabilities, and working on both algorithms as we'll as platforms, you'll love the job
What you'll be doing
- Design & 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 modeling as we'll 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 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 bring to the role
- bachelors or masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP.
- 3+ 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, textclassification, 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 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 (ie Meal card, PF, etc)