Job Description
About Whatfix
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). We empower companies to maximize the ROI of their digital investments across the application lifecycle, from ideation to training to deployment, enhancing user productivity, process compliance, and user experience.
Company Highlights
- Recognized for innovation and customer-centricity.
- Positioned as a comprehensive suite for GenAI-powered digital adoption, analytics, and application simulation.
- Product suite includes DAP, Product Analytics, and Mirror.
- Offices across US, India, UK, Germany, Singapore, and Australia.
- Presence in over 40 countries.
- Over 700 enterprise customers including Fortune 500 companies.
- Raised approximately $270 million in funding.
- Achievements include top rankings in G2 awards, Gartner reports, Deloitte Technology Fast 500, and EcoVadis sustainability medals.
Role: AI Engineer - Internal Applications
Overview
Seeking a highly motivated AI Engineer to design, develop, and deploy AI-driven solutions for internal processes, productivity, and employee experience enhancement.
Key Responsibilities
AI Solution Development
- Develop and deploy AI models to automate processes.
- Build and fine-tune NLP solutions for document processing, chatbots, and proactive insights.
- Create machine learning pipelines for predictive analytics and anomaly detection.
Integration and Deployment
- Integrate AI models into existing internal applications such as CRM, CLM, enterprise tools.
- Collaborate with DevOps for CI/CD pipelines.
Collaboration and Stakeholder Engagement
- Partner with stakeholders to identify AI opportunities.
- Work with IT and development teams.
Data Management and Analysis
- Use structured and unstructured data for training and testing.
- Implement data preprocessing pipelines.
Performance Monitoring and Optimization
- Monitor AI models for accuracy and scalability.
- Optimize algorithms and infrastructure.
Qualifications
Education
- Bachelor’s or Master’s in Computer Science, Data Science, AI or related.
Experience
- 3-5 years in AI, ML, or Data Science roles.
- Proven enterprise AI deployment experience.
- CRM and automation experience is a plus.
Technical Skills
- Programming: Python, R, Java.
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn.
- NLP Libraries: SpaCy, Hugging Face, NLTK.
- Cloud Platforms: AWS, Azure, GCP.
- APIs, microservices, REST.
- Data engineering: ETL, SQL, NoSQL.
Soft Skills
- Problem-solving, critical-thinking.
- Excellent communication, collaboration.
- Adaptability in fast-paced environments.
Additional Notes
- Commitment to closing the loop with applicants.
- Equal opportunity employer with commitment to diversity.
Note
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