Prisio Technologies - MLOps Engineer

We are hiring for our UAE client , it's an remote with permanent opportunity. Job Title - ML Ops Engineer Work Location : India Contract Duration : Full Time Job Summary : Deployment, monitoring, and maintenance of machine learning models in production environments. Responsibilities : - Design the data pipelines and engineering infrastructure to support our clients' enterprise machine learning systems at scale - Take offline models data scientists build and turn them into a real machine learning production system - Develop and deploy scalable tools and services for our clients to handle machine learning training and inference - Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients' machine learning systems - Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. - Support model development, with an emphasis on auditability, versioning, and data security - Facilitate the development and deployment of proof-of-concept machine learning systems - Communicate project progress, challenges, and results to stakeholders, providing insights and recommendations for future initiatives. - Manage and optimize cloud infrastructure for ML workloads, including data storage, compute resources, and networking. - Ensure that ML systems comply with data security and privacy regulations, implementing necessary & EXPERIENCE : Educational Requirements / Qualifications : - Bachelor's Degree in Computer Science, information technology, information systems, software development or software engineering. - Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) - Strong software engineering skills in complex, multi-language systems - Fluency in Python - Comfort with Linux administration - Experience working with cloud computing and database systems - Experience building custom integrations between cloud-based systems using APIs - Experience developing and maintaining ML systems built with open source tools - Experience developing with containers and Kubernetes in cloud computing environments - Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, MLflow, etc.) - Ability to translate business needs to technical requirements - Strong understanding of software testing, benchmarking, and continuous integration - Exposure to machine learning methodology and best practices - Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) Experience : - 3-5 years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models Skills & Competencies : - Proven effective verbal and written communication skills - Ability to independently research and solve technical issues - Demonstrated integrity in a professional environment - Excellent teaming skills - Good social, communication and technical writing skills - Ability to work in and adapt to a changing environment. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/28/2024