Collaborate with cross-functional teams to understand business requirements and develop AI-based solutions
Utilize AI modeling and machine learning techniques to analyze data and create predictive and forecasting models
Apply time series models to identify patterns and trends for proactive maintenance strategies
Implement regression, logistic regression, decision tree, random forest, xgboost, bagging, and boosting algorithms to optimize predictive models
Design and deploy industrial AI and IIOT solutions to enhance operational efficiency and reliability
Utilize artificial neural networks, deep learning, computer vision, RNN, CNN, and reinforcement learning to develop advanced AI solutions
Collaborate with experts to build recommendation engines and expert systems for AI-based applications
Provide technical expertise and support to internal teams and external clients
Stay updated with the latest AI technologies and contribute to the development of innovative solutions
Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner
Experience
4-8 years of experience in the AI & ML industry
Education Qualification
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Or Master's degree Statistics, Mathematics, Economics or in a related field
Certification required
Relevant certifications in AI, machine learning, or data science are preferred
Behavioural skills
Strong analytical and problem-solving skills
Excellent communication and presentation abilities
Ability to work effectively in a collaborative team environment
Adaptability and willingness to learn new technologies
Strategic thinking and innovative mindset
Strong understanding of Industrial or similar businesses
