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    Home/Jobs/Generative AI Specialist (Mid Shift)

    Generative AI Specialist (Mid Shift)

    Arcadis

    Makati / Metro Manila
    3+ years
    46 days ago
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    Prompt Engineering
    Gen AI
    ChatGPT
    Machine Learning
    NLP
    Deep Learning
    Copilot

    Description

    Arcadis is seeking a Generative AI Specialist to join their Marketing & Communications team, leveraging generative AI tools to enhance content creation, streamline processes, and automate content distribution. The ideal candidate will have experience in machine learning, natural language processing, or deep learning roles.

    Company: Arcadis

    Role: Generative AI Specialist (Mid Shift)

    Location: Makati, Metro Manila, Philippines

    Experience:

    • 3+ years of experience in machine learning, Natural language processing, or deep learning roles
    • Extensive experience with prompt engineering and building AI assistants/agents using Copilot, ChatGPT, and/or other tools
    • Extensive experience in applying GenAI to business use cases and using it in professional settings

    Key Skills:

    • Generative AI
    • Machine Learning
    • Natural Language Processing
    • Deep Learning
    • Prompt Engineering
    • Copilot
    • ChatGPT

    Qualification:

    • Bachelor's or higher degree in Computer Science, Data Science, AI, or a related field

    Role Focus: • Design, test, and refine prompts for AI models to optimize output quality and relevance • Identify and implement generative AI tools to support content creation, idea generation, and campaign development • Collaborate with cross-functional teams to define AI use cases aligned with business goals • Develop best practices and guidelines for ethical and effective use of AI in marketing • Own and drive the generative AI search strategy and content mapping for the new • Bring the generative AI capability and product roadmap to life through web experience, ensuring innovative and user-centered solutions • Work closely with the UX lead and channel owners to drive cross-channel DX/UX improvements using generative AI • Optimize AI-generated web content to enhance engagement and usability across platforms • Automate content distribution for digital channels, ensuring efficient and effective reach

    Additional responsibilities:

    • Conduct research and data analysis to inform AI-driven strategies and solutions
    • Conduct research and experimentation to improve prompt engineering techniques
    • Develop predictive models for content performance and audience interaction
    • Utilize analytics and reporting tools to create automated reporting systems
    • Train MarComms team members on how to effectively use generative AI tools in their workflows
    • Provide ongoing support and troubleshooting for AI tool usage across the team
    • Stay updated on emerging AI trends and share insights with the team
    • Create technical documentation, best practices, and training materials
    • Monitor the effectiveness of AI-driven content and campaigns using analytics tools and metrics
    • Report on AI impact, highlighting successes and areas for improvement
    • Evaluate cost-effectiveness and ROI of generative AI tools and solutions

    Other:

    • Excellent working knowledge of Microsoft Office products
    • Analytical mindset with the ability to interpret model outputs and optimize performance
    • Excellent problem-solving skills and the ability to work in a fast-paced environment
    • Strong communication skills and a collaborative mindset
    • Strong attention to detail
    • Good project management skills
    • Ability to prioritize workload, work well under pressure, and deliver high-quality output that meets tight deadlines
    • Ability to influence and coach digital communications capabilities in others

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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