Job Description

Who are we Whatfix is the #1 Digital Adoption Platform (DAP) for Enterprises. We empower anyone, anywhere to have successful experiences with the technology they use every day, achieving greater knowledge, capability, and productivity for themselves and their organizations. The company has six offices globally in the US, India, UK, Germany, and Australia, and works with Fortune 500 companies around the world. Whatfix has raised $140 million to date and is backed by marquee investors including Softbank, Sequoia, Dragoneer, and Cisco Investments. Key Responsibilities: Develop advanced computer vision and state-of-the-art deep learning models for building an understanding of software applications and using the understanding to act as an agent. Research & Implement ML and Deep learning algorithms for production Build infrastructure needed for AI/ML systems, such as model inference, automated (re-)training, monitoring, explainability, etc. Participate in Code Review and process improvement. Stay abreast of new AI research from leading labs by reading papers and experimenting with code Help AI product managers and business stakeholders understand the potential and limitations of AI for your Products Run necessary ML tests and benchmarks for model validation Fine-tune, retrain, and scale existing model deployments Articulate complex problems by communicating viable architecture and design approaches in a clear and concise manner Implement computationally complex model training and software applications understanding Neural networks and integrate them into the Whatfix saas platform. Design and develop highly scalable, reliable, and fault-tolerant systems for one of the world\'s fastest-growing startups Envision project goals, and product architectural solutions with a high focus on detail to ensure successful implementation Occasionally participate in customer demos & provide inputs wherever required Conduct research to provide technical solutions at scale for real-world challenges in various scenarios Our ideal AI/ML Engineer: 4-7 years experience and a strong analytical background, with a degree in computer science, engineering, machine learning, artificial intelligence, deep learning, algorithms, statistics, or a similar field desirable Direct work experience and proficiency in a few of the below technologies and frameworks: Solid experience in building systems with vision processing, deep neural networks, and reinforcement learning Solid understanding of working with Knowledge graphs for AI projects Strong understanding of concepts related to Machine Learning and Statistics Deep understanding of the family of CNN algorithms such as R-CNN, Fast R-CNN, Faster R-CNN, YOLO, etc Solid hands-on knowledge of using Deep learning libraries such as PyTorch, Fastai, TensorFlow, OpenCV, etc. Proficiency in the implementation of algorithms and the use of advanced data structures to solve problems in computing. A solid foundation in the principles of computer science is desired. Hands-on programming skills in Python Hands-on experience with Front end technologies like - HTML, CSS, and JavaScript is a plus Publication of DL-based research work in top-tier conferences is a plus Previous experience with transformer/vision transformer-based models is a plus Working knowledge of finding ways to quickly experiment and deploy at least 2 DL-based solutions to production Understanding distributed computing using Spark is a plus Excellent communication and technical skills A can-do attitude and entrepreneurial spirit to conceive ideas, turn challenges into opportunities and build products Ability to collaborate effectively with highly technical resources in a fast-paced environment Ability to solve complex challenges/problems and rapidly deliver innovative solutions Qualification Bachelor or Master in Computer Science Why Whatfix Accelerated Growth and Expansion Top decile Y-o-Y revenue growth rate of 65% Doubled the workforce since 2021 Raised $140 million to date Tripled the valuation since 2020 Listed among fastest-growing companies in North America in 2021 and 2022 in Listed as top 6 2023 Best Tech Startups in San Jose by Tech Tribune Top 20 fastest-growing SaaS companies worldwide in the SaaS 1000 list in 2022 Cemented Industry Leadership Leader in the first-ever Forrester New Wave : Digital Adoption Platforms, Q4 2022 A Leader for the third consecutive year in the Everest Group DAP Peak Matrix 2022 Recognized in the 2022 Gartner Market Guide for Digital Adoption Platforms Unique Exposure - With 80% of revenue getting generated from outside India and 75 Fortune 500 customers across the world, Whatfixers get the unique opportunity to work closely with the top enterprises from day one. Customers are at the heart of everything Consistently scored an unprecedented 100th Percentile B2B SaaS Customer NPS during this time period, according to GrowthScore, and earned 99.5% CSAT score over the last two years - 4.6/5 star ratings by both and G2 Crowd Reviews. Recognized as \'Top Rated\' by TrustRadius. Enjoy several accolades from Stevies, Golden Bridge Awards, CXA, and Globee Awards for excellence in customer support Whatfixers come first Top 20 Places to Work For, Worldwide by Glassdoor & Battery Ventures (2022) based on Glassdoor rating of 4.5 99% approval rate of the CEO Top 6 Best Tech Startups in San Jose by The Tech Tribune Recognized as Great Place to Work 2021-2022 Winner of the Stevie Award for being one of the Best Employers, Globally LinkedIn - Top 5 Startups to Work For in 2020! Flexible Work Location - Work from any of the offices in Gurgaon / Gurugram & Bangalore / Bengaluru as per your convenience Trusted by our investors Vision Fund2 Capital India Dragoneer Investment Group F-Prime Capital Venture Partners Investments Ventures Helion Ventures

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