Senior AI/ML Engineer
Core
Design and implement scalable AI/ML solutions, including predictive models, intelligent automation, and data-driven decision systems for a cloud-based service automation platform.
Role type
Senior AI/ML Engineer
Builds
Production AI/ML models, intelligent automation capabilities, and scalable data pipelines for facilities management.
Domain
Facilities Management / Cloud Services
Deliverable
production ML models
Required skills
Python, SQL, TensorFlow, PyTorch, Scikit-learn, Databricks, MLflow, CI/CD, MLOps, NLP, Generative AI
Preferred skills
Generative AI / LLMs, real-time inference systems, event-driven architectures, big data technologies (Spark, Kafka)
Responsibilities
Design, develop, and deploy AI/ML solutions; build and automate robust, scalable pipelines for data processing and model deployment; collaborate with data scientists and product teams to translate business problems into AI-driven solutions; analyze large and complex datasets to extract insights; own the end-to-end AI/ML lifecycle including experimentation, model development, deployment, monitoring, and retraining; develop and integrate AI capabilities such as NLP and anomaly detection into applications; implement and manage CI/CD pipelines and MLOps practices; work with engineering and DevOps teams to build scalable infrastructure for training and inference.
Seniority
Senior, hands-on IC
