Solutions Architect (AI Infrastructure) For pune (Maharashtra)

Job Title: Solutions Architect (AI Infrastructure) Location: Pune, India Level: C3A/C3B Job Summary We are seeking a highly skilled and experienced Solutions Architect to join our team in Pune. The ideal candidate will be responsible for designing, implementing, and maintaining our AI infrastructure, ensuring it is scalable, robust, and secure. This role requires a deep understanding of cloud technologies, particularly AWS, as well as expertise in Databricks and MLOps. The Solutions Architect will work closely with data scientists, AI engineers, and other stakeholders to translate business requirements into technical solutions that drive our AI initiatives forward. Key Responsibilities Architect and Design AI Infrastructure: Design and build scalable and resilient AI infrastructure on AWS, leveraging services such as EC2, S3, SageMaker, and others. Databricks and MLOps: Utilize Databricks for data engineering and machine learning workloads, and implement MLOps best practices to streamline the model development lifecycle. Containerization: Deploy and manage applications using container technologies such as Docker and Kubernetes. Collaboration: Work with cross-functional teams to understand their needs and develop AI solutions that meet business objectives. Technical Leadership: Provide technical guidance and mentorship to junior team members, and stay up-to-date with the latest trends in AI, cloud computing, and MLOps. Optimization: Continuously evaluate and optimize the performance, cost, and security of our AI infrastructure. Required Technical Competencies AWS: Proven experience as a Solutions Architect with a strong understanding of AWS services. AWS Certified Solutions Architect Associate/Skilled is highly preferred. Experience with AWS AI/ML services (e.g., SageMaker, Bedrock) is a plus. Databricks: Hands-on experience with Databricks for data engineering and machine learning. Familiarity with Delta Lake, Spark, and Unity Catalog. MLOps: Experience with MLOps principles and tools for model deployment, monitoring, and management. Containerization: Proficiency in Docker and Kubernetes for deploying and managing containerized applications. Programming: Strong programming skills in Python and experience with PySpark. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 8+ years of experience in a similar role, with a focus on cloud architecture and data engineering. Excellent problem-solving and communication skills. Ability to work effectively in a fast-paced, collaborative environment. If anyone interested so please share me your cv to or call 8451980441 Job Title: Solutions Architect (AI Infrastructure) Location: Pune, India Level: C3A/C3B Job Summary We are seeking a highly skilled and experienced Solutions Architect to join our team in Pune. The ideal candidate will be responsible for designing, implementing, and maintaining our AI infrastructure, ensuring it is scalable, robust, and secure. This role requires a deep understanding of cloud technologies, particularly AWS, as well as expertise in Databricks and MLOps. The Solutions Architect will work closely with data scientists, AI engineers, and other stakeholders to translate business requirements into technical solutions that drive our AI initiatives forward. Key Responsibilities Architect and Design AI Infrastructure: Design and build scalable and resilient AI infrastructure on AWS, leveraging services such as EC2, S3, SageMaker, and others. Databricks and MLOps: Utilize Databricks for data engineering and machine learning workloads, and implement MLOps best practices to streamline the model development lifecycle. Containerization: Deploy and manage applications using container technologies such as Docker and Kubernetes. Collaboration: Work with cross-functional teams to understand their needs and develop AI solutions that meet business objectives. Technical Leadership: Provide technical guidance and mentorship to junior team members, and stay up-to-date with the latest trends in AI, cloud computing, and MLOps. Optimization: Continuously evaluate and optimize the performance, cost, and security of our AI infrastructure. Required Technical Competencies AWS: Proven experience as a Solutions Architect with a strong understanding of AWS services. AWS Certified Solutions Architect Associate/Skilled is highly preferred. Experience with AWS AI/ML services (e.g., SageMaker, Bedrock) is a plus. Databricks: Hands-on experience with Databricks for data engineering and machine learning. Familiarity with Delta Lake, Spark, and Unity Catalog. MLOps: Experience with MLOps principles and tools for model deployment, monitoring, and management. Containerization: Proficiency in Docker and Kubernetes for deploying and managing containerized applications. Programming: Strong programming skills in Python and experience with PySpark. Qualific