<div>We, the<strong> Cloudside</strong>, are a trusted team of cloud-native and data problem solvers, helping our customers drive the best business outcomes with cloud as a catalyst. As a team, we bring decades of collective experience in Cloud, Data, and App Engineering. From a two-person startup to large conglomerates, our services are designed to assist our customers in every phase of their cloud-native journey. </div><div><br></div><div><strong>Mission :</strong> We have acquired skills and expertise in solving scale, security, availability, performance, and analytics problems for hundreds of customers over the past decade. Our mission is to bring this expertise and make it available for every customer we get an opportunity to serve and assist in solving complex cloud and data problems.</div>

Cloudside Technologies

<div><strong>ML Engineer</strong></div><div style="text-align: justify;"><strong>About Cloudside&nbsp;</strong></div><div style="text-align: justify;">Cloudside is a Cloud and Data consulting company that has deep expertise in Google Cloud Platform, Amazon Web Services, and Microsoft Azure. We help our customers solve complex problems in Infrastructure, DevOps, Application modernization, and Data Management and Analytics.&nbsp;&nbsp;</div><div><br></div><div style="text-align: justify;">Our mission is to be the trusted team of Cloud and Data problem solvers, helping our customers achieve the best business outcomes using Cloud as a catalyst. We bring decades of experience and skill in Cloud, Data, and Application Engineering acquired helping customers of all shapes and sizes, and make it available for every customer that we work with.</div><div><br></div><div style="text-align: justify;"><strong>About The Role</strong></div><div style="text-align: justify;">As a Machine Learning Engineer you are responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment.&nbsp;</div><div><br></div><div style="text-align: justify;"><strong>Skill Required</strong></div><ul><li>Object oriented programming with Python</li><li>Scaling the code for an existing model</li><li>Deploying the scaled model into production</li><li>Identify model drifting and how to retrain a drifted model in production</li><li>Creating CI/CD pipelines to automatically deploy the trained/retrained models into production</li><li>Data processing, data design and modelling, deploying the model</li><li>Proficiency with a deep learning framework such as TensorFlow or Keras</li><li>Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas</li><li>Experience with solving different flavours of ML problems which includes Computer vision, regression, predictions etc</li><li>Working in public cloud providers (like GCP, AWS)</li><li>Ability to work independently on tasks and deliver with a high-level of quality</li><li>Ability to work in teams and be open to comments and feedback</li><li>Ability to learn quickly and to adapt to a fast-paced environment</li></ul><div><br></div><div style="text-align: justify;"><strong>Great to Have</strong></div><ul><li style="text-align: justify;">Certifications - GCP and/or AWS, professional level</li><li style="text-align: justify;">Your contributions to the community - tech blog, StackOverflow, etc.</li><li>6-10 years of experience working with the related work experience</li></ul><div><br></div>