Software Requirements:

• AI-ML
• Artificial Intelligence and Machine Learning
• Python
• AWS Sage Maker
• Generative AI
• Proficiency in programming languages such as Python, R, or SQL
• Knowledge of data analysis and visualization tools such as PowerBI, Tableau, or QlikView
• Familiarity with AI and ML frameworks such as TensorFlow, Keras, PyTorch, etc.

Overall Responsibilities:

• Analyze and interpret complex data sets to extract insights and inform decision-making
• Develop and implement AI and ML models for predictive and prescriptive analytics
• Collaborate with cross-functional teams to define and implement data-driven solutions
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously evaluate and improve data-driven solutions to maximize impact
• Stay current on emerging technologies and trends in AI and data science to drive innovation

Skills:

• Artificial Intelligence and Machine Learning
• Python
• AWS Sage Maker
• Generative AI
• Strong analytical and problem-solving skills
• Knowledge of data analysis, statistics, and machine learning
• Ability to extract insights and make data-driven decisions
• Excellent communication and interpersonal skills
• Ability to work in a fast-paced environment
• Ability to prioritize and manage multiple tasks and projects simultaneously

Experience:

• 6-10 years of experience in AI/ML/Data Science or related field
• Proven track record of delivering data-driven solutions with a positive impact

Day-to-Day Activities:

• Analyzing and interpreting complex data sets to extract insights and inform decision-making
• Developing and implementing AI and ML models for predictive and prescriptive analytics
• Collaborating with cross-functional teams to define and implement data-driven solutions
• Communicating findings and recommendations to stakeholders through presentations and reports
• Continuously evaluating and improving data-driven solutions to maximize impact
• Staying current on emerging technologies and trends in AI and data science to drive innovation

Qualification:

• Bachelor's degree in Computer Science, Data Science, or a related field
• Master's degree in AI/ML/Data Science or related field is a plus
• Professional certification in AI/ML/Data Science is a plus

Soft Skills:

• Excellent verbal and written communication skills
• Ability to work in a fast-paced environment
• Strong customer-focused approach
• Ability to work independently and as part of a team
• Positive attitude and strong work ethic
• Flexibility and adaptability in a changing work environment.