• Express Your Interest: AI Engineer at Watermelon Ecosystem

  • Kindly note only applications submitted via this Expression of Interest form will be considered for the opportunity. Please find the details for the role below.

    Job Type: Permanent

    Commencement Date: ASAP

    Duration of Placement: Full-time

    Role Timings: 9:00am - 6:00pm

    Stipend: AED 15,000 - 20,000

    Languages: English

    Job Description:

    We’re looking for a systems-level thinker who designs end-to-end AI workflows, not just models. You will architect, build, and optimize intelligent systems that connect data, processes, and decision-making across our platform. From credit scoring to dynamic inventory, you’ll own the entire lifecycle — from problem framing to deployment at scale — ensuring every piece of intelligence delivers measurable business impact.

    Key Responsibilities:

            1. Systems Architecture & AI Engineering

    • Design and implement AI-driven workflows for supply, demand, credit, and operations.
    • Build scalable pipelines for ingestion, processing, and decision-making across heterogeneous data sources.
    • Develop interconnected services where models feed into automated actions — e.g., credit risk → onboarding workflow → CRM triggers.
    • Apply MLOps best practices for continuous delivery, monitoring, and optimization of production models.

      2. Predictive & Prescriptive Intelligence
    • Build models for churn prediction, credit scoring (90%+ accuracy), demand forecasting, and supplier performance tracking.
    • Develop recommendation engines for product matching, upsell/cross-sell logic, and order optimization.
    • Implement explainable AI techniques to support financial compliance and trust.

      3. Automation & Integration
    • Integrate AI outputs directly into operational systems (Zoho One CRM, ERP, payments, logistics).
    • Build event-driven automation that reacts in real time (<100ms latency) to business triggers.
    • Develop self-healing workflows that identify anomalies and adapt automatically.

      4. NLP & Document Intelligence
    • Deploy OCR + NLP systems to extract structured data from invoices, contracts, and onboarding documents.
    • Build conversational and sentiment-aware bots for supplier and customer engagement.
    • Implement contract/risk intelligence systems for compliance monitoring.

      5. Tech Stack You’ll Work With
    • Languages: Python (must), Java/Node.js, SQL
    • ML/AI: PyTorch, TensorFlow, scikit-learn, XGBoost
    • NLP: spaCy, NLTK, OpenAI API, OCR frameworks
    • Data & Infra: PostgreSQL, MongoDB, Redis, Kafka, Docker, Kubernetes, AWS/GCP
    • Integrations: Zoho One (CRM, Creator, Deluge), REST APIs, webhooks

    Requirements:

    • 5+ years experience in applied AI/ML engineering, with experience architecting end-to-end intelligent systems in SaaS, fintech, marketplaces, or supply chain tech.
    • Proven track record designing production-grade AI workflows that integrate with business operations.
    • Strong MLOps experience — CI/CD for models, monitoring, retraining strategies.
    • Excellent cross-functional communicator, able to translate business needs into technical workflows.
    • Results-driven mindset, with a strong focus on business impact, speed, and scalability.
    • Experience in embedded finance, alternative credit scoring, or fintech risk modeling.
    • Arabic NLP or multilingual AI deployments is a plus.
    • Knowledge of AI governance and compliance in regulated environments.
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