India onlyAbout the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
About the Role:
As an ML Data Analyst, you will be responsible for preparing, analyzing, and interpreting large datasets to support the development and evaluation of machine learning models. Your work will focus on ensuring high-quality data, identifying meaningful patterns, and generating actionable insights that contribute to AI-driven solutions. This role demands strong analytical skills, attention to detail, and a keen interest in working with machine learning data in a dynamic, fast-paced environment.
Responsibilities
- Requirement Analysis - Understand business requirements and identify opportunities for AI integration in generative chatbot solutions.
- Data Exploration and Analysis - Analyze large datasets to extract meaningful insights, patterns, and trends relevant to the development and improvement of generative AI chatbots.
- Feasibility Assessment - Evaluate the feasibility of implementing AI models and algorithms to enhance chatbot performance, ensuring alignment with business goals.
- Model Selection and Design - Work closely with data scientists to choose appropriate AI models, develop prototypes, and design solutions for generative chatbot capabilities.
- Implementation and Deployment - Collaborate with development teams to implement and deploy AI models into the chatbot platform, ensuring seamless integration and optimal performance.
- Performance Monitoring and Optimization - Continuously monitor and evaluate the performance of generative AI chatbots, making data-driven decisions to optimize and enhance their capabilities.
- Collaboration and Communication - Foster collaboration between data analytics, data science, and development teams to ensure effective integration of AI solutions into the chatbot ecosystem.
- Communicate findings, insights, and recommendations to both technical and non-technical stakeholders.
- Education and Training - Provide training and support to team members on AI technologies, data analysis techniques, and best practices for generative chatbot development.
- Stay Informed on AI Trends - Keep abreast of the latest advancements in AI, machine learning, and natural language processing to identify opportunities for innovation in chatbot technology.
Requirements
- Educational Qualification: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Experience: 2-5 Years of experience as an AI Analyst or in a similar role, with a focus on data analytics and AI integration.
- Experience in the development and deployment of generative AI models is a plus.
- Technical Skills: Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of machine learning algorithms and natural language processing.
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex datasets.
- Communication Skills: Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Collaboration and Teamwork: Demonstrated ability to work collaboratively in cross-functional teams, fostering a culture of innovation and continuous improvement.
- Adaptability: Ability to adapt to a dynamic and fast-paced environment, staying proactive in identifying opportunities for AI-driven improvements in chatbot functionalities.
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
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