Machine Language Engineer

Machine Language Engineer

Should have minimum of 10 years of IT experience Working experience in Machine learning Operate and maintain systems supporting the provisioning of new clients, applications, and features. Day-to-day monitoring of the Production service delivery environment to ensure all services and applications are operating optimally and SLAs are met. Software deployment and configuration management in both QA and Production environments. Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules Design, build and optimize applications' containerization and orchestration with Docker and Kubernetes and AWS or Azure. Automate applications and infrastructure deployments Produce build and deployment automation scripts to integrate between services Be a subject matter expert on DevOps practices, CI/CD and Configuration Management with assigned engineering team

Required Skills: Experience with cloud computing platforms: Google Cloud, Amazon Web Service, Azure, and Kubernetes. Experience in Azure cloud services (especially Azure DevOps) and deploying production code in the same. Experience in MLFlow, Qubeflow, MLTracking, Client Experiments Experience in big data technologies preferred: Hadoop, Hive, Spark, and Kafka. Knowledge of machine learning frameworks: Tensor flow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Collects data, analyses and reports for early detection and correction, continual improvement. Recognize and attend to important details with accuracy and efficiency.

About Us: InterSources Inc, a Certified Diverse Supplier, was founded in 2007, offers innovative solutions to help clients on Digital Transformations across various domains and industries. Our history spans over 13 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enables us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, colour, national origin, gender sexual orientation, gender identity, age, marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.