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Senior AI Developer
2 weeks ago
Job OverviewAs a Freelance Machine Learning Engineer, you will be responsible for designing, building, and deploying machine learning models into production environments. You will work with top-notch clients and collaborate with engineering and product teams to translate business needs into ML solutions.We are a rapidly growing multinational software company with offices in Florida and New Delhi. Our clients span the US, Australia, and APAC.Key ResponsibilitiesDesign, build, and deploy scalable ML models.Set up and manage MLOps pipelines for continuous training, monitoring, and versioning.Automate workflows for data processing, model deployment, and CI/CD.Collaborate with cross-functional teams to develop ML solutions.Implement model performance monitoring, logging, and alerting systems.Optimize ML workloads for cost, performance, and scalability in cloud environments.Required Skills and QualificationsMachine Learning & AI: Model development, training, evaluation, and optimization.MLOps: Model deployment, monitoring, ML pipelines, experiment tracking (e.g., MLflow, Kubeflow).DevOps: CI/CD, containerization (Docker), orchestration (Kubernetes).Python: Advanced proficiency with ML libraries and automation.Cloud Platforms: AWS / GCP / Azure (any one or more).Version Control & Automation: Git, scripting, workflow automation.Benefits● 100% remote work arrangement● Paid monthly● Minimum 7 years of experience required● Must have a 100% remote job currentlyAdditional RequirementsExperience with distributed systems and data pipelines.Knowledge of LLMs, RAG, Vector DBs, or GPU-based training.Experience with monitoring tools like Prometheus, Grafana, etc.
