ML Data Analyst
Job Summary
Job Description
As an ML Data Analyst at Netomi AI, you will be instrumental in creating AI solutions for leading global brands. Your responsibilities will include analyzing data, identifying opportunities for AI integration, and designing solutions for generative chatbot capabilities. You'll collaborate with data scientists and development teams, monitoring performance, optimizing capabilities, and communicating findings. Additionally, you'll provide training and stay informed on the latest AI advancements to innovate chatbot technology. This role involves significant impact, skill development, and being part of the Generative AI revolution.
Must have:
- Understand business requirements and AI integration opportunities.
- Analyze large datasets for insights and trends.
- Choose appropriate AI models and design solutions.
- Implement and deploy AI models into the chatbot platform.
- Monitor and optimize generative AI chatbot performance.
- Communicate findings to stakeholders.
12 skills required
Job Details
At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.
Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.
Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.
Want to become a key part of the Generative AI revolution? We should talk.
Job 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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