About Us
Ushur is transforming the way enterprises communicate and engage with customers. Fueled by consumers’ self-service demands, enterprises are modernizing customer engagement and experience models. Ushur is fast becoming the platform of choice for Customer Experience Automation™, enabling these enterprises to leapfrog their digital native counterparts and deliver delightful customer and employee experiences. With cutting-edge Conversational AI, Machine Learning and Intelligent Process Automation technologies, Ushur has enabled Fortune 100 enterprises including some of the world’s most well-known brands in healthcare, insurance, banking and financial services sectors to automate their customer engagement. Cloud-native, 100% no-code and purely workflow-driven, Ushur empowers citizen developers within business operations teams to build AI-powered, fully automated and omni-channel experience to digitally transform customer journeys end-to-end.
Location: Bangalore
Work Mode: Hybrid
The Role and Responsibilities
● Direct a dynamic team of Data Scientists and Engineers developing state-of-the-art Large Language Models (LLMs) and Generative-AI powered applications.
● Bring extensive expertise in manipulating semi-structured and unstructured data, transforming them into structured insights using diverse models.
● Essential experience in crafting NLP models across various sectors like Fintech, Insurance, Healthcare, and Logistics, with a bonus for insights into Insurance and Healthcare.
● Collaborate with a multidisciplinary engineering team, including Architects, Developers, Testers, and Machine Learning Engineers.
● Analyze high-level requirements to detail out feature specifics, exploring and applying ML models using user and platform data.
● Stay at the forefront of NLP research, converting groundbreaking theories into practical solutions for Ushur.
● Initiate and strategize new ML ventures in line with broader business objectives, liaising with key stakeholders for design and execution.
● Mentor and navigate junior team members through data science projects, managing multiple products and initiatives.
● Assess requirements, aligning with the PMO for project planning.
● Lead daily stand-ups, risk management, dependency resolution, and proactive gap-closure follow-ups
Qualifications
● 8+ years in professional software design and development, including over 5 years in the NLP domain.
● At least 5 years leading large-scale ML projects.
● Expertise in text classification, unstructured data extraction, dialogue learning, machine translation, question answering, and vision/OCR applications.
● Proficient in Python or Java, with experience in ML frameworks like Pytorch, Tensorflow.
● Minimum 3 years with a major Cloud vendor (AWS, GCP, Azure).
● Exceptional verbal, written, and managerial abilities, leading a team of 5-7 ML engineers.
Nice-to-haves
● Exposure to Large Language Models and modern SaaS platforms
● Background in Insurance or Healthcare or Financial Services domain.
● Advanced degrees (Ph.D./M.S.) in Computational Linguistics, Applied Math, or similar.
● Published works in renowned NLP/RL/ML forums.
● Familiarity with MLOps platforms and Big Data ecosystems
Benefits
●Great Company Culture. We pride ourselves on having a values-based culture that is welcoming, intentional, and respectful. Our internal NPS of over 65 speaks for itself - employees recommend Ushur as a great place to work!
●Bring your whole self to work. We are focused on building a diverse culture, with innovative ideas where you and your ideas are valued. We are a start-up and know that every person has a significant impact!
●Rest and Relaxation. 20 days of flexible leaves per year, Monthly Wellness Friday (aka a day off to care for yourself) and more!
●Health Benefits. Preventive health checkups, Medical Insurance covering the dependents, wellness sessions, and health talks at the office
●Keep learning. One of our core values is Growth Mindset - we believe in lifelong learning. Certification courses are reimbursed. Ushur Community offers wide resources for our employees to learn and grow.
● Flexible Work. In-office or hybrid working model, depending on position and location. We seek to create an environment for all our employees where they can thrive in both their profession and personal life.
