You are passionate about Machine Learning and Cloud Computing. You excel at building infrastructure and platform solutions with hypervisors, containers and orchestrators, as well as microservices and workflow pipelines, and you can make Python sing. Things like Docker, Kubernetes, Kubeflow, Kustomize, Airflow, TFX and MLOps are in your DNA and you enjoy the challenge of working on a variety of leading-edge projects to solve real world problems and help organizations succeed.
Design and build pipelines to ingest, transform and preprocess data
Automate data collection and manage workflows, quality, integrity and monitoring
Manipulate and evaluate large and complex datasets
Write and review technical documentation, design architectures, project scopes and deliverables
Collaborate with a variety of technical and non-technical stakeholders to understand and interpret their objectives, distill real requirements, propose and deliver solutions, and communicate findings.
Work with scalable networking technologies and web standards (e.g. REST and gRPC APIs, web security (LDAP, OAuth, etc)).
Build and orchestrate containers with relevant technologies (e.g. Kubernetes, Docker), microservices, and cloud orchestration/management APIs.
Orchestrate ML workloads through Kubeflow and TensorFlow Extended (TFX) components.
Ability to build relationships and manage project delivery with partner teams and external R&D groups
Be a trusted technical advisor to customers and solve complex technical challenges
Bachelor's degree in Computer Science, Mathematics, related field, or equivalent practical experience.
Google Cloud Architect, Google Data Engineer or equivalent certifications.
Experience with distributed compute environments, big data analytics, microservices and cloud computing.
Experience scripting in Linux Bash, Python and supporting libraries.
Experience in big data, information retrieval, data mining and machine learning, as well as in building multi-tier highly available applications with modern data platforms and frameworks such as Spark and Tensorflow.
Experience with cloud storage solutions, SQL/NoSQL datastores, normalized / document databases, and federated technologies.
About Manceps Inc:
Who We are:
Manceps is dedicated to helping organizations transform their businesses and automate their operations by building next-generation solutions using Machine Learning, Artificial Intelligence, and Data Science technologies. Our services are tailored to meet the demands of sophisticated IT shops with varying needs, spanning the full stack from infrastructure to applications.
You will be joining a fast-growing team of elite data scientists and software engineers working on a variety of exciting projects across industries. Trust us — there will be numerous opportunities to find creative, state-of-the-art solutions to complex problems. Whether wrangling large datasets, building models, or launching applications, our goal is to arm our clients with actionable insights and powerful solutions to help them achieve their most pressing business objectives.
We are driven by seeing the benefits of our solutions come to fruition!
Who We Are Seeking:
In short, we are seeking brilliant individuals with excellent interpersonal abilities.
We want you to be able to roll up your sleeves and work closely with team members and customer stakeholders alike. Good communication skills are essential as it will be up to you to capture detailed technical requirements and explain dependencies, findings, and results to project managers and practice leads.
If you have the aptitude to work within a fast-paced environment to deliver services that have a vast business impact, let’s talk.