The candidate should be able to work under tight timelines with minimal supervision. Must have hands-on experience with AI/ML models, data pre-processing, and feature engineering. Proficiency in Python, R, TensorFlow, and machine learning libraries is essential. Candidates should be able to design, train, and deploy models, as well as perform data-driven decision-making and performance evaluations.

Responsibilities: Assist in managing projects by tracking progress, coordinating with stakeholders, scheduling meetings, and preparing reports. Candidates should be highly organized with strong communication skills and experience in project coordination. Ability to handle confidential information, multitask effectively, and support senior management is essential. Familiarity with project management tools is preferred.

The role requires people with a good mix of technical knowledge and business acumen. Responsibilities include designing and implementing AI/ML solutions for enterprise clients. Must have experience in machine learning models, deep learning frameworks, and AI-driven analytics, with a focus on aligning technology with business objectives. Ability to communicate technical concepts to business stakeholders is key.

Total experience: 4-7 years. Must have experience in creating dashboards and visualizations using Power BI. Primary skills include data analysis, SQL, and data modeling. Should be proficient in querying large datasets, deriving actionable insights, and working with cross-functional teams. Prior experience with data-driven decision-making and reporting is essential.