3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

As an MLOps Engineer at our company, you will be responsible for developing scalable applications and platforms in an agile environment. You will manage various aspects of project management, including requirements gathering, metadata collection, classification, security clearance, data pipeline template development, and data pipeline monitoring and support. Your role will involve designing, developing, deploying, and maintaining production-grade scalable data transformation, machine learning, and deep learning code and pipelines. You will be in charge of managing the ETL and machine learning model lifecycle, including development, deployment, monitoring, maintenance, and updates of data and models in production. Additionally, you will build and maintain tools and infrastructure for data processing for AI/ML development initiatives. To succeed in this role, you must have experience deploying machine learning models in production environments and possess a strong background in DevOps, Data Engineering, and ML on Cloud platforms. You should be familiar with containerization and orchestration tools like Docker and Kubernetes, as well as ML Ops open source frameworks for model registry, performance measurement, and monitoring. Proficiency in Python scripting, CI/CD, and Python data tools such as Pandas, Dask, or Pyspark is required. Experience working on large-scale distributed systems, Python/Scala for data pipelines, and Scala/Java/Python for micro-services and APIs will be beneficial. Knowledge of HDP, Oracle skills & SQL, Spark, Scala, Hive, and Oozie DataOps is also desirable. If you are a self-motivated individual with a passion for problem-solving and continuous learning, we encourage you to apply for this exciting opportunity and contribute to our AI/ML development initiatives. Regards, Manvendra Singh manvendra.singh@incedoinc.com,

Posted 3 days ago

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