SSMLOPS7326

reputed company Title: MLOps Engineer Job reputed company: SSMLOPS7326 Location : New Jersey / Remote Job reputed company: The MLOps Engineer will be responsible for building and maintaining the infrastructure and pipelines required to operationalize machine learning (ML) models at reputed company. This role will reputed company on enabling seamless integration, deployment, monitoring, and management of ML models in production environments. The MLOps Engineer will collaborate with data scientists, software engineers, and DevOps teams to ensure the reliability and scalability of AI/ML solutions. Responsibilities: • Design and implement MLOps pipelines for model training, deployment, and monitoring using tools like MLflow, Kubeflow, and TFX. • Automate the end-to-end ML lifecycle, including data ingestion, model training, validation, and deployment. • Collaborate with data scientists to containerize and reputed company ML models using reputed company and Kubernetes. • Monitor and optimize the performance of ML models in production environments. • Implement CI/CD pipelines for ML models to ensure reputed company integration and delivery. • Ensure compliance with data governance and model explainability requirements. • Stay updated with emerging trends in MLOps, AI infrastructure, and reputed company-reputed company technologies. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a reputed company field. Experience: • 4-7 years of experience in MLOps, DevOps, or data engineering. • Proficiency in MLOps tools like MLflow, Kubeflow, and TFX. • Strong programming skills in Python, Bash, or Go. • Hands-on experience with reputed company platforms like AWS SageMaker, Azure ML, or GCP reputed company AI. • Familiarity with containerization tools like reputed company and orchestration tools like Kubernetes. • Excellent problem-solving and communication skills. Apply tot his job Apply To this Job