AI Engineer-17386

Who are we?

Whatfix is a leading global B2B SaaS organization and the largest pure-play enterprise digital adoption platform solution provider.

Utilizing GenAI technology, Whatfix enhances all stages of software deployment with application simulation, product analytics, and digital adoption, driving business outcomes such as increased revenue win rates, cost reduction, risk compliance, enhanced productivity, and improved user experience.

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 80 Fortune 500 companies such as Shell, 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.

• With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the "Top 50 Indian Software Companies" as per G2 Best Software Awards.
• Recognized as a "Leader" in the digital adoption platforms (DAP) category for the past 4+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group.
• The sole vendor named as Customers' Choice: 2024 Gartner Voice of the Customer for Digital Adoption Platform Report. We also boast a star rating of 4.6 on G2 Crowd 4.5 on Gartner Peer Insights and a high CSAT of 99.8%
• Highest-Ranking DAP on 2023 Deloitte Technology Fast 500 North America for Third Consecutive Year
• Won the Silver for Stevie's Employer of the Year 2023 – Computer Software category and also recognized as Great Place to Work
• Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal

AI Engineer - Internal Applications

We are seeking a highly motivated and skilled AI Engineer to design, develop, and deploy AI-driven solutions that streamline internal processes, enhance productivity, and improve employee experience. The AI Engineer will work closely with cross-functional teams to identify automation opportunities, build scalable AI models, and integrate them into internal applications. This role requires a strong technical foundation in artificial intelligence, machine learning, and natural language processing, combined with a passion for solving complex business problems.

Key Responsibilities:
AI Solution Development:

• Develop and deploy AI models and algorithms to automate internal processes, enhance decision-making, and improve productivity.
• Build and fine-tune natural language processing (NLP) solutions for use cases such as document processing, chatbot development, and proactive insights.
• Create machine learning pipelines for predictive analytics and anomaly detection in operational workflows.

Integration and Deployment:

• Integrate AI models into existing internal applications, including CRM platforms, CLM systems, Employee-facing tools, Enterprise applications, Analytics tools and other custom inbuilt applications.
• Collaborate with DevOps teams to ensure efficient CI/CD pipelines for AI solutions.

Collaboration and Stakeholder Engagement:

• Partner with business stakeholders to identify pain points and opportunities for AI-driven enhancements.
• Work closely with IT and application development teams to align AI initiatives with organizational goals.

Data Management and Analysis:

• Leverage structured and unstructured data from multiple sources to train, test, and validate AI models.
• Implement data preprocessing pipelines to ensure data quality and completeness.

Performance Monitoring and Optimization:

• Continuously monitor and evaluate the performance of deployed AI models, ensuring accuracy, scalability, and efficiency.
• Optimize algorithms and infrastructure to reduce latency and improve user experience.

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Experience:

• 3–5 years of experience in AI engineering, machine learning, or data science roles.
• Proven track record of developing and deploying AI solutions in enterprise environments.
• Experience with CRM systems and automation platforms is a plus.

Technical Skills:

• Proficiency in programming languages like Python, R, or Java.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and NLP libraries (SpaCy, Hugging Face, NLTK, etc.).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI tools (SageMaker, Vertex AI).
• Familiarity with APIs, microservices, and RESTful architectures.
• Strong understanding of data engineering concepts, including ETL pipelines and database management (SQL, NoSQL).

Note:

• At Whatfix, we thrive on the power of collaboration, innovation, and human connection. We strongly believe that working together in our office (five days a week) fosters open communication, builds a sense of community, and fuels innovation. This ensures open communication, strengthens our sense of community, and enables us to achieve our collective goals effectively.
• At the same time, we recognize the importance of flexibility in balancing personal and professional priorities. To support this, we offer the option to work from home up to two days per month.
• In any situation that requires additional flexibility, we're open to considering exceptions on a case-by-case basis to ensure you're supported in managing both work and life seamlessly.
• 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 is the foundation; and 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

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