Your role and responsibilitiesYou will have below role focus in order to become a successful AI Engineer in Client Engineering team.Technical ExpertiseCreating and managing the AI development.Define strategies and plan for development on production infrastructure.Fine-Tune, Deploy and Operate Foundation Models.Optimizing AI infrastructure to drive measurable business value for customers.Building AI models from scratch& Fine Tuning pre-trained models and assisting different stakeholders with analysis and implementation.Transforming machine learning models into APIs that can be integrated with other applications.Collaborating across teams to help with AI adoption and best practices.EngagementUse prior experience in AI project and domain to gain client trustApply Foundation Models to propose and validate hypotheses for business queries.Collaborate with the client to rapidly develop AI solutions using IBM watsonx Platform via a Proof of Experience (PoX).Employ Agile methodologies for responsive AI solution development based on client feedback.Strategic InnovationUtilize the latest IBM AI technical strategies and sales plays to unlock client opportunities, applying skills in AI development, model building, Fine-Tuning and API integration.Suggest improvements for data reliability, efficiency, and quality in future projects, using proficiency in programming, big data technologies, and AI frameworks.Display a growth mindset and genuine curiosity to grasp clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities.Employ agile methodologies to hasten solution definition and validation, enhancing client outcomes swiftly.All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.
