Description:

Netomi AI is seeking an ML Data Analyst to join their Customer Success team in Gurugram, with a full-time remote work option.
The company aims to create artificial intelligence that enhances customer experiences for major global brands.
The role involves working with top-tier clients and offers opportunities to build a professional network.
Responsibilities include understanding business requirements, analyzing large datasets, evaluating AI model feasibility, selecting and designing models, implementing and deploying AI solutions, monitoring performance, fostering collaboration, communicating insights, providing training, and staying informed on AI trends.

Requirements:

Candidates must hold a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
A minimum of 2-5 years of experience as an AI Analyst or in a similar role, focusing on data analytics and AI integration, is required.
Experience in developing and deploying generative AI models is considered a plus.
Proficiency in Python and relevant AI libraries/frameworks such as TensorFlow and PyTorch is essential.
A strong understanding of machine learning algorithms and natural language processing is necessary.
Candidates should possess strong analytical and problem-solving skills to derive actionable insights from complex datasets.
Excellent communication skills are required to convey technical concepts to both technical and non-technical stakeholders.
Demonstrated ability to work collaboratively in cross-functional teams is essential, fostering a culture of innovation and continuous improvement.
Candidates must be adaptable to a dynamic and fast-paced environment, proactively identifying opportunities for AI-driven improvements in chatbot functionalities.

Netomi offers a dynamic and fast-growing work environment that values innovation, creativity, and hard work.
Employees have the opportunity to significantly impact the company’s success while developing their skills and career in AI.
The company is committed to diversity in the workplace and evaluates qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.