{"schemaVersion":"jobsearcher.job.v1","id":"5251bc39fa5a3fbc499dcf14","url":"https://jobsearcher.com/jobs/5251bc39fa5a3fbc499dcf14","canonicalUrl":"https://jobsearcher.com/jobs/5251bc39fa5a3fbc499dcf14","title":"Artificial Intelligence Engineer","description":"Role: AI Cloud EngineerLocation: Remote Type: Contact Job Description:Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field, or equivalent practical experience.Hands-on experience in Machine Learning (ML) and Artificial Intelligence (AI).Strong coding and scripting proficiency in Python, C++, C, Java, or Perl.Experience in technical consulting, client-facing engineering, or technical client services.Excellent written and verbal English communication skills.Strong technical expertise in ML platforms, MLOps, Document AI, and Generative AI.Experience designing and implementing multi-step Agentic AI workflows using modern agent frameworks, orchestration platforms, and cloud-based AI services.Experience working with technologies such as LangChain, Agent Development Kit (ADK), AI agent platforms, and managed ML/AI services.Relevant cloud certification in Google CloudPreferred QualificationsStrong understanding of the practical considerations involved in designing, deploying, monitoring, and maintaining production ML systems.Hands-on experience with recommendation systems, data pipelines, distributed machine learning, or related ML engineering domains.Experience with deep learning and machine learning frameworks such as TensorFlow, PyTorch, and XGBoost.Solid understanding of data warehousing and data engineering concepts, including data architectures, ETL/ELT pipelines, and analytical environments.Experience with distributed data processing technologies such as Apache Beam, Hadoop, Spark, or Hive.Previous experience in technical consulting and customer-facing solution delivery.Ability to translate complex technical requirements into scalable, production-ready AI/ML 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