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We’re seeking a Machine Learning Engineer to support a leading industry company. This remote role is perfect for professionals with a passion for developing scalable AI solutions and working within cloud ecosystems. Join a dynamic team dedicated to driving innovation in healthcare and retail applications from anywhere outside the region. This opportunity is open for a contract duration exceeding one year, offering flexibility and the chance to impact critical systems.
Job Responsibility:
Design, develop, and implement scalable machine learning models and data pipelines on cloud platforms
Build and maintain comprehensive end-to-end ML workflows, including feature engineering, model training, evaluation, deployment, and ongoing monitoring
Develop accessible ML capabilities through APIs for use by other systems and teams
Operationalize advanced models such as LLMs, SLMs, and retrieval-augmented systems to ensure high performance and scalability
Collaborate closely with data, software, and product teams to integrate ML solutions into broader infrastructure
Requirements:
Strong proficiency in Python programming with solid understanding of core machine learning principles
Hands-on experience with Google Cloud Platform, especially Vertex AI for training and deploying models
Knowledge of containerized environments using Kubernetes and Docker for ML workloads
Experience working with NLP, including training and deploying language models, and hosting models in production
Familiarity with large-scale data processing and management of the ML lifecycle