AI & ML Engineer
This vacancy is currently filled. You can still apply to be part of our Talent Pool.
About the Role
At AR Experts, we're building BizAlign, a smart ERP system with interconnected CRMs (Fleet, HR, Workforce, Telematics) and expanding into AI-driven platforms for telematics, predictive analytics, and business automation. We're looking for an ML/AI Engineer who's excited about turning real-world data into intelligent solutions that scale.
What You'll Do
- Build, train, and deploy machine learning models for telematics, fleet analytics, driver behaviour, and business process optimization.
- Develop and optimize AI pipelines for predictive maintenance, anomaly detection, and automation.
- Work with large-scale structured and unstructured datasets (vehicle telemetry, CRM data, user activity).
- Deploy models on AWS (SageMaker, EC2, Lambda, S3) or equivalent cloud platforms.
- Collaborate with the product and engineering teams to integrate ML/AI models into web, mobile, and ERP modules.
- Research and experiment with LLMs, NLP, and computer vision for future ERP/CRM features.
- Ensure data security, compliance (GDPR), and performance of deployed models.
What We're Looking For
- Strong background in machine learning, deep learning, or data science.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Experience with cloud ML platforms (AWS SageMaker, Azure ML, or GCP AI).
- Solid understanding of data pipelines, APIs, and deployment workflows.
- Knowledge of NLP or computer vision is a plus (e.g., driver monitoring, document automation).
- Startup mindset: ability to work independently, iterate fast, and adapt to evolving challenges.
Nice to Have
- Experience with real-time data processing (Kafka, Spark, Flespi IoT, MQTT).
- Familiarity with LLMs and generative AI (OpenAI, HuggingFace, LangChain).
- Background in MERN stack or integration with web/mobile apps.
- Understanding of MLOps practices, model monitoring, and scalability.
What We Offer
- Work on real-world AI challenges in telematics, logistics, and ERP automation.
- Full ownership of ML projects from research to production.
- Startup culture with flexibility, creativity, and growth opportunities.
- A chance to shape next-gen AI-powered ERP systems that transform businesses.