Data/ ML Solution Architect

As a Solutions Architect, you will be responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services. Your role will involve driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders.Requirements7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure)Excellent communication and problem-solving skills, with the ability to work across multiple projects and the ability to articulate complex technical concepts to both technical and non-technical audiencesTechnical sales or pre-sales experience with cloud and big data, and ML solutionsStrong leadership and team collaboration abilitiesStrategic thinking with a focus on delivering measurable business valueProven ability to build strong relationships with customers and act as a trusted advisorProficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stackStrong understanding of AI/ML concepts and experience integrating AI/ML components into solutionsProven experience with data lakes, data warehouses, and real-time data analyticsProven experience with microservice architecture and containerized deployment optionsHands-on experience with Kubernetes, Docker, and containerized applicationsProficiency in any of backend backend-related languages: TS, Java, Python, and othersSolid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow)Demonstrated ability to lead and mentor cross-functional teamsFamiliarity with agile methodologiesOriginally posted on Himalayas

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