Artificial Intelligence Engineer

Job SummaryWe are seeking an experienced AI / ML Engineer to design, build, and deploy enterprise‑grade AI and machine learning solutions on Google Cloud Platform (GCP), with a strong focus on Vertex AI. The role involves working closely with business and engineering teams to deliver impactful AI use cases across Insurance and Healthcare, including predictive models, conversational AI, and intelligent decision support systems, while ensuring compliance with PDPL and responsible AI principles.Location: Karachi/Lahore/IslamabadKey Responsibilities:Design, develop, and deploy machine learning models using Google Cloud Vertex AIBuild end‑to‑end ML pipelines for data preparation, training, evaluation, deployment, and servingIdentify and translate business problems into AI/ML solutions (e.g., fraud detection, claims prediction, risk scoring, clinical decision support)Design and develop AI-powered features such as conversational AI, smart search, recommendations, and predictive analyticsBuild and integrate AI solutions using Google AI Stack, including Vertex AI, Gemini APIs, and Dialogflow CXCollaborate with Backend Engineers to expose AI models and capabilities as scalable microservicesFine‑tune and evaluate pre‑trained models and LLMs for Insurance and Healthcare use casesImplement MLOps best practices, including model versioning, CI/CD, monitoring, and automated retrainingMonitor model performance and data drift; implement retraining and optimization strategiesEnsure AI/ML solutions comply with PDPL, data privacy standards, and responsible AI principles (fairness, transparency, explainability)Document models, pipelines, and decisions to support auditability and explainabilityRequirements:5+ years of experience in AI/ML engineering, data science, or applied AIStrong hands‑on experience with GCP Vertex AI (training, pipelines, model registry, endpoints)Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit‑learnExperience with MLOps tools and practices (Vertex Pipelines, Kubeflow, MLflow, CI/CD)Hands‑on experience with Google AI Stack, including Vertex AI and related servicesExperience with LLMs, RAG architectures, and prompt engineeringExposure to Gemini APIs and Dialogflow CXPrior experience delivering Insurance or Healthcare AI/ML solutionsKnowledge of responsible AI, bias mitigation, and explainable ML techniquesExperience working in regulated environments with strict data privacy requirements