Logo
Diverse Lynx

Azure Engineer with (AI/ML exp) @ Remote

Diverse Lynx, Little Ferry, New Jersey, us, 07643


Title: Azure Engineer with (AI/Client exp)

Location: Remote

Type: Contract

Responsibilities

Machine Learning / AI PlatformDesign, develop and document cutting-edge Client solutions, using existing and emerging technology platformsArchitect extensible technical architectures to deliver the latest in machine learning, AI, and other emerging technology solutionsProvide technical vision, technical solutions and directions to build modern Machine Learning Platforms, Tooling and Services for Client/AI at Scale.Contribute to building a platform to streamline all phases of data-centric innovation, including data organization, data access, data exploration, data science prototyping, productionization, testing, and ongoing monitoring of machine learning pipelinesEvangelize and drive adoption of the Client platform, and strive for operational excellenceOversee the day-to-day operation of the platform, ensuring high availability, scalability and performance and a data-driven approach to continuous measurement and optimizationDefines architecture blueprints for end-to-end systems to including integration of applications, systems, platforms and technical infrastructureDesign infrastructure, tools, utilities, and automated workflowsOperate as a trusted advisor for the Machine Learning space, helping to shape use cases and implementation in an integrated mannerSupport the productionization and deployment of data science models and pipelinesDefine standards and create reference implementations pattern for machine learning / AI solution and Azure PaaSResponsible for successful analysis, high-level design and delivery of cloud projectsPartner with data scientists and machine learning engineers to review and co-optimize technical designsOptimize machine learning and relevant data processing code for scale and robustnessFacilitate in determining architecture goals, cost estimating solutions and reviewing existing cloud deployments for potential improvements to design, availability, recoverability and cost optimizationEngage in a highly collaborative team environment where your expertise is required to suggest best options to Client foundations for cloud data architecture, scaling, and data development opportunities, cost savings, and vulnerabilitiesPartner with business stakeholders, management, and technology teams to identify needs and guide the delivery of cost-effective, high-performance technology capabilities leveraging enterprise information architecture principles and core data assetsQualifications

Knowledge of Azure relevant certifications such as Azure Solutions Architect, Azure AI EngineerDeep knowledge in the Machine Learning and data space including designing, building, optimizing and scaling data-intensive Client solutions using distributed computingAbility to see and implement patterns that enable solution simplificationAbility to influence through persuasionExperience

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience5+ years of experience in an architecture or engineering role focusing on machine learning models and deploying them into production at scaleExperience with next generation architectural concepts, including Integrations, advanced analytics, cloud analytics, big data, artificial intelligence, and/or machine learningExpertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systemsExperience working with DevOps on prem or in cloud environments, including but not limited to Deep understanding of compute, storage, networking, Docker/Containers, Kubernetes, cloud APIs and IaaSExperience with orchestration frameworksExperience with natural language processing or deep learning frameworks such as Tensorflow, Pytorch, or HuggingFace, etcStrong analytical and problem-solving skillsDiverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

#J-18808-Ljbffr