Whatfix - Machine Learning Engineer

Who are we? Founded in 2014 by Khadim Batti and Vara Kumar, Whatfix is a leading global B2B SaaS provider and the largest pure-play enterprise digital adoption platform (DAP). Whatfix empowers companies to maximize the ROI of their digital investments across the application lifecycle, from ideation to training to the deployment of software. Driving user productivity, ensuring process compliance, and improving user experience of internal and customer-facing applications. Spearheading the category with serial innovation and unmatched customer-centricity, Whatfix is the only DAP innovating beyond the category, positioning itself as a comprehensive suite for GenAI-powered digital adoption, analytics, and application simulation. Whatfix product suite consists of 3 products Mirror, DAP and Analytics. This product suite helps businesses accelerate ROI on digital investments by streamlining application deployment acrossMits lifecycle. Whatfix has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40 countries. Customers: 700 enterprise customers, including over 85 Fortune 500 companies such asShell, Microsoft, Schneider Electric, and UPS Supply Chain Solutions. Investors: Raised a total of ~$270 million. Most recently Series E round of $125 Million led by Warburg Pincus with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer Investments, Peak XV Partners, and Stellaris Venture Partners. Our Team : The Engineering team at Whatfix provides end to end engineering throughput that forms part of core platforms and services that drive the Whatfix business. Our team is responsible for creating the Customer Platform and everything around it be it Analytics Infrastructure or Core Algorithms. The team owns and is responsible for all pieces we design, build, and support end-to-end for the Whatfix product/ business. About the Role : Whatfix is working on building an intelligent assistant that understands user actions and intent, acting as a helpful guide to enhance productivity. This assistant will anticipate user needs, provide actionable insights, and streamline task completion. We are seeking rockstar AI/ML Engineers who have experience in building world-class products. The ideal candidate will have a strong passion for leveraging AI and machine learning to create cutting-edge solutions that transform user experiences. If you thrive in solving complex problems, pushing the boundaries of AI/ML technology, and working collaboratively in a fast paced environment, this role is for you! Key Responsibilities : - Develop and deploy state-of-the-art deep learning models to understand software applications and derive user intent. - Research and implement ML and deep learning algorithms for production use. - Build and maintain infrastructure for AI/ML systems, including model inference, automated (re-)training, monitoring, explainability, and more. - Stay updated on cutting-edge AI research from leading labs by reading papers and experimenting with code. - Assist AI product managers and business stakeholders in understanding the capabilities and limitations of AI for the products. - Fine-tune, retrain, and scale existing model deployments. - Conduct necessary ML tests and benchmarks for model validation. Our Ideal AI/ML Engineer : - Experience : 6 years of expertise in solid Machine Learning and Deep Learning fundamentals. - Deep Learning and Model Development Expertise : Strong understanding and Proven experience in developing deep learning models in Natural Language Processing (NLP) and experience deploying Deep Learning models in Production. - LLM expertise : Familiarity with LLM architectures like BERT and GPT, with hands-on experience fine-tuning these models for enhanced performance. - Research and Application : Extensive experience in algorithms for image processing, content based video/image analysis, object detection, segmentation, and tracking. - Strong programming skills in Python. - Libraries : Proficiency in machine learning and deep learning libraries like PyTorch and Hugging Face. - Technical Skills : Demonstrated ability to implement, improve, debug, and maintain machine learning models. Good to Have : - Expertise in optimization and debugging. - Familiarity with version control systems such as Git. - Experience in handling and visualizing large datasets and creating performance reports. Note : We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust, Do it as you own it. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/10/2025