Padmi

ZS Associates - Consultant - Scaled AI

BangalorePosted 2 months ago
Software engineeringSeniorFull Time; Regular
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ZS Associates - Consultant - Scaled AI ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities. What You will Do: - Design and implement technical features leveraging best practices. - Collaborate with client-facing teams to understand solution context. - Write production-ready code that is easily testable. - Ensure the highest quality of deliverables by following architecture/design guidelines. - Participate in scrum calls and agile ceremonies. - Mentor and groom technical talent within the team. What You will Bring: - At least 5+ years of relevant hands-on experience in deploying and productionizing ML models at scale. - Expertise in Designing, configuring, and using ML Engineering platforms like Sagemaker, MLFlow, Kubeflow. - Big data - Hive, Spark, Hadoop, Apache Kafka/Rabbit MQ/AWS Kinesis. - Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. - Hands-on experience building CI/CD pipelines. ZS Associates - Consultant - Scaled AI ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities. What You will Do: - Design and implement technical features leveraging best practices. - Collaborate with client-facing teams to understand solution context. - Write production-ready code that is easily testable. - Ensure the highest quality of deliverables by following architecture/design guidelines. - Participate in scrum calls and agile ceremonies. - Mentor and groom technical talent within the team. What You will Bring: - At least 5+ years of relevant hands-on experience in deploying and productionizing ML models at scale. - Expertise in Designing, configuring, and using ML Engineering platforms like Sagemaker, MLFlow, Kubeflow. - Big data - Hive, Spark, Hadoop, Apache Kafka/Rabbit MQ/AWS Kinesis. - Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. - Hands-on experience building CI/CD pipelines.

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