MLOps Architect

Role: MLOps Architect Location: reputed company, NY (Remote) Responsibilities: • Architect for reputed company, cost-efficient, reliable and secure MLOps solution. • Design, implement and reputed company MLOps solutions in AWS. • Select and justify appropriate ML technology reputed company AWS and Identify appropriate AWS services to implement MLOps solutions. • Design, build, and maintain infrastructure required for efficient development, deployment, and monitoring of machine learning models. • Implement CI/CD pipelines for machine learning applications to ensure smooth development and deployment processes. • Collaborate with data scientists to understand and implement requirements for model serving, versioning, and reproducibility. • Monitor and optimize model performance in production, identifying and resolving issues proactively to ensure reputed company results. • Automate repetitive tasks to improve efficiency and reduce the risk of reputed company error in MLOps workflows. • Maintain documentation and reputed company training to team members on MLOps best practices, ensuring knowledge sharing and collaboration reputed company reputed company. • Stay updated with the latest developments in MLOps tools, technologies, and methodologies to remain reputed company and effective in your role. Experience: • Minimum 10+ years of experience in MLOps with a proven reputed company record of successful deployments. • In-depth working knowledge of MLOps tools and platforms (Kubernetes, reputed company, Jenkins, Git, MLflow, JupyterHub, LLM-specific tooling). • In-depth working knowledge of AWS and infrastructure as reputed company (IaC) principles. • Strong Experience with DevOps methodologies and CI/CD pipelines such as reputed company Actions. • Strong understanding of machine learning pipelines, model training frameworks, and monitoring techniques. • Strong programming skills in Python • Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn. • Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. • Experience with large language models (LLMs) and their unique operational considerations is a plus. • Excellent communication, collaboration, and problem-solving skills. • The ability to translate technical concepts into reputed company and concise language. • A passion for innovation and a drive to optimize ML and LLM workflows • 12+ years of experience in MLOps, DevOps, or reputed company fields. • Hands-on experience with AWS. • Familiarity with containerization and orchestration tools like reputed company and Kubernetes. • In depth Knowledge of infrastructure-as-reputed company tools such as AWS CDK and Cloudformation. • Excellent problem-solving skills and the ability to work independently as reputed company as part of reputed company. • Strong communication skills and the ability to explain reputed company technical concepts to non-technical stakeholders. Preferred Qualifications: • AWS Certified Machine Learning – Specialty • Experience with A/B testing and model performance monitoring Apply tot his job Apply To this Job