Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Business Requirements Analysis
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: Functional BA - Focuses on the functional aspects of AI projects, ensuring solutions meet business requirements. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Gather and document functional requirements. - Conduct gap analysis and feasibility studies. - Work closely with stakeholders to refine requirements. - Ensure functional requirements are met throughout the project lifecycle. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Collaborate with stakeholders to gather business requirements and translate them into technical specifications. - Design and develop AI/ML models and algorithms to solve complex business problems. - Implement and deploy AI/ML models into production environments. - Perform data analysis and data preprocessing to ensure data quality and integrity. - Stay up-to-date with the latest advancements in AI/ML technologies and tools. - Conduct experiments and evaluate the performance of AI/ML models. - Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems. - Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Requirements Analysis. - Strong analytical and problem-solving skills. - Excellent communication and documentation skills. - Ability to work with both technical and non-technical stakeholders. - Experience in business analysis for AI projects. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - A 15 years full-time education is required.

15 years full time education

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