Solution Architect - MLOps

Job Description : Key Responsibilities : - Design and implement scalable, secure, and reliable architectures on GCP for machine learning applications. - Develop and manage end-to-end MLOps pipelines, including data preprocessing, model training, validation, and deployment. - Collaborate with data scientists, engineers, and stakeholders to understand business requirements and translate them into technical solutions. - Optimize cloud resources for performance, cost efficiency, and security. - Provide guidance on best practices for GCP services related to machine learning, such as AI Platform, BigQuery, Cloud Functions, and Kubernetes Engine. - Monitor and troubleshoot ML models in production, ensuring high availability and performance. - Stay current with industry trends and emerging technologies in GCP and MLOps. Qualifications : - Bachelor's degree in Computer Science, Information Technology, or a related field (Master's preferred). - Proven experience as a Solution Architect with a focus on GCP and MLOps. - Strong understanding of machine learning concepts and frameworks (e. TensorFlow, PyTorch). - Proficiency in GCP services, particularly those relevant to machine learning and data engineering. - Experience with containerization technologies (Docker, Kubernetes). - Familiarity with CI/CD practices and tools related to ML workflows. - Excellent problem-solving skills and ability to work collaboratively in a team environment. - Strong communication skills to articulate technical concepts to non-technical stakeholders. Experience : 3 - 5 years (ref:hirist.tech)

Location: in, IN

Posted Date: 11/24/2024