AI & Data Solutions Engineer

About Plexus: Founded by former leaders from Google, Plexus is a strategic consultancy that bridges the power of data, artificial intelligence, and technology to transform business growth. Our culture is built on technical excellence, a data-driven mindset, and a focus on sophisticated, scalable solutions. The Role: Your mission will be to work with our clients to design and implement cutting-edge AI/ML and data solutions . You will build robust, scalable data pipelines and deploy predictive models, focusing on engineering excellence and strategic business impact. You will be a transformation agent, utilizing cloud and MLOps technologies to move clients from raw data to sophisticated, real-time AI capabilities. Areas of Expertise Data Readiness and Solutions Architecture: Lead the technical implementation and onboarding of core data and cloud platforms, such as Google Cloud Platform (GCP), Google Analytics 4 (GA4), and BigQuery . Design detailed Feature Stores and event taxonomies to ensure robust data collection for ML models. Implement and support solutions for data governance and quality, ensuring compliance with privacy standards. Solve complex technical challenges, including data unification, real-time feature delivery, and model serving. Technical Leadership in AI/ML Solutions: Serve as the technical expert for MLOps frameworks and cloud AI platforms (e.g., Vertex AI), leading the full model deployment lifecycle. Design and deploy custom machine learning models (e.g., recommender systems, NLP classification) and integrate them into client business processes. Empower clients to leverage generative AI models and enable the use of Data Clean Rooms for secure, collaborative data analysis. Provide strategic guidance on optimizing the AI/ML solution stack configuration to drive business value and efficiency. Strategic Analysis and Value Generation: Transform data into business intelligence, generating insights and strategic recommendations for publishers. Create and optimize executive dashboards in tools like Looker Studio . Communicate with high-level stakeholders to present analyses and advocate for recommendations. Excellence in Technical Support and Consulting: Act as the escalation point for high-complexity technical inquiries regarding setup, data quality, and performance. Diagnose and resolve issues through data pipeline monitoring and log analysis. Proactively identify and mitigate technical risks and bottlenecks to ensure the health of client data operations. The Profile We Are Looking For We are seeking a professional capable of translating business requirements into technical architecture and raw data into strategic insights. Essencial Differentials: Experience: Mid-level to Senior (Pleno/Sênior) in Data Engineering, AI/ML Solutions, or Web Analytics. Python Mastery: Deep knowledge of data processing libraries (e.g., Pandas, Spark) and ML frameworks (e.g., Scikit-learn, TensorFlow). BigQuery/SQL Expertise: Solid experience with large-scale data warehousing and feature engineering. Client-Facing DNA: Previous experience in technical client-facing roles (Solutions Engineer, ML Engineer, etc.). Platform Mastery: Proficiency in cloud data platforms (GCP preferred) and MLOps principles. Soft Skills: Ability to explain complex technical concepts, structured problem-solving, and a proactive mindset. High-Impact Differentials: Experience with Vector Databases and Retrieval-Augmented Generation (RAG) . Understanding of the Cloud AI Ecosystem Experience with CI/CD pipelines for ML models ( MLOps ). Familiarity with Docker for deployment and scaling. Why join Plexus?Culture of Innovation: A mature and collaborative environment with direct mentorship from founders with unparalleled market experience. Accelerated Growth and Impact: Work at the forefront of technology and position yourself years ahead of the market. Enjoy autonomy and be the architect of data success for major clients.