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Seeking a Freelance Machine Learning Engineer to develop and deploy ML models in production-grade environments.This is an opportunity to work on complex projects with a team of experienced developers.Key ResponsibilitiesData Engineering: Design, build, and maintain MLOps pipelines for continuous training, monitoring, and versioning.Model Deployment: Set up and manage model deployment workflows for efficient model performance.Automation: Automate data processing, model deployment, and CI/CD workflows.Collaboration: Work closely with engineering and product teams to translate business needs into ML solutions.We are looking for someone who is passionate about machine learning and has experience working with distributed systems and data pipelines.RequirementsMachine Learning: Model development, training, evaluation, and optimization using Python and popular libraries.MLOps: Experience with model deployment, monitoring, and pipeline management.DevOps: Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS/GCP/Azure).Cloud Platforms: Expertise in cloud computing and experience working with AWS/GCP/Azure.Benefits100% Remote Work: We offer flexible remote work arrangements.Competitive Pay: You will be paid out every month based on your performance.Opportunity to Grow: This role offers opportunities for growth and professional development.We value diversity, equity, and inclusion in the workplace and encourage applicants from diverse backgrounds to apply.

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