AI Solutions Specialist

As an AI Solutions Specialist at this company, you will be responsible for shaping technical solutions that address complex business challenges through machine learning and natural language processing in the AI space. Your role will involve collaborating with multi-disciplinary teams to deliver AI products from ideation to implementation. Let's delve into the details: Key Responsibilities: - AI Engine Design: Design AI solutions to solve specific business challenges or use cases. - AI Deployment & Training: Select, fine-tune, and deploy LLMs for localization use cases, ensuring optimal performance. - Technology Selection: Assess and recommend AI technologies that align with business requirements. - Solution Integration: Collaborate with DevOPS team to seamlessly integrate AI-powered workflows into existing systems and tools. - Reliability & Performance Monitoring: Develop methodologies to track AI system reliability and enhance model performance continuously. - Collaboration with DevOps: Assist in defining infrastructure requirements to support AI solutions. - Workflow Optimisation: Refine AI-driven workflows with stakeholders to maximize automation and efficiency. - User Story & Requirement Definition: Document technical requirements and user stories for engineering teams. Qualifications Required: - AI & NLP Expertise: Minimum 3 years of experience in NLP, working with LLMs, machine translation, and AI solutions. - Machine Learning: Strong understanding of machine learning operations for managing pipelines. - Technical Background: Proficiency in AI model training, fine-tuning, and deployment methodologies. - AI Model Evaluation: Experience in setting up and evaluating AI models for performance. - Integration Experience: Hands-on experience in integrating AI solutions with existing platforms via APIs and scripts. - Data & Performance Analysis: Ability to analyze model performance, optimize datasets, and drive continuous improvements. - Collaboration & Communication: Strong cross-functional collaboration skills to execute AI strategies effectively. - Problem-Solving Skills: Proficient in troubleshooting AI-related challenges and optimizing performance for scalability. In this role, you will be at the forefront of AI and language services, influencing how global organizations manage content and translation workflows. You will work with cutting-edge tools in a supportive culture with competitive compensation, comprehensive insurance, retirement plans, flexible work arrangements, wellness perks, and birthday leave. If you are passionate about reshaping how enterprises handle global content through AI systems, we encourage you to apply today. As an AI Solutions Specialist at this company, you will be responsible for shaping technical solutions that address complex business challenges through machine learning and natural language processing in the AI space. Your role will involve collaborating with multi-disciplinary teams to deliver AI products from ideation to implementation. Let's delve into the details: Key Responsibilities: - AI Engine Design: Design AI solutions to solve specific business challenges or use cases. - AI Deployment & Training: Select, fine-tune, and deploy LLMs for localization use cases, ensuring optimal performance. - Technology Selection: Assess and recommend AI technologies that align with business requirements. - Solution Integration: Collaborate with DevOPS team to seamlessly integrate AI-powered workflows into existing systems and tools. - Reliability & Performance Monitoring: Develop methodologies to track AI system reliability and enhance model performance continuously. - Collaboration with DevOps: Assist in defining infrastructure requirements to support AI solutions. - Workflow Optimisation: Refine AI-driven workflows with stakeholders to maximize automation and efficiency. - User Story & Requirement Definition: Document technical requirements and user stories for engineering teams. Qualifications Required: - AI & NLP Expertise: Minimum 3 years of experience in NLP, working with LLMs, machine translation, and AI solutions. - Machine Learning: Strong understanding of machine learning operations for managing pipelines. - Technical Background: Proficiency in AI model training, fine-tuning, and deployment methodologies. - AI Model Evaluation: Experience in setting up and evaluating AI models for performance. - Integration Experience: Hands-on experience in integrating AI solutions with existing platforms via APIs and scripts. - Data & Performance Analysis: Ability to analyze model performance, optimize datasets, and drive continuous improvements. - Collaboration & Communication: Strong cross-functional collaboration skills to execute AI strategies effectively. - Problem-Solving Skills: Proficient in troubleshooting AI-related challenges and