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    Azure Engineer with - San Francisco, United States - Diverse Lynx

    Diverse Lynx
    Diverse Lynx San Francisco, United States

    1 week ago

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    Description
    Title - Azure Engineer with (AI/Client exp)

    Duration - 9+ Months

    Location - Remote

    Responsibilities :
    • Machine Learning / AI Platform
      • Design, develop and document cutting-edge Client solutions, using existing and emerging technology platforms
      • Architect extensible technical architectures to deliver the latest in machine learning, AI, and other emerging technology solutions
      • Provide 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 pipelines
      • Evangelize and drive adoption of the Client platform, and strive for operational excellence
      • Oversee the day-to-day operation of the platform, ensuring high availability, scalability and performance and a data-driven approach to continuous measurement and optimization
    • Integration
      • Defines architecture blueprints for end-to-end systems to including integration of applications, systems, platforms and technical infrastructure
      • Design infrastructure, tools, utilities, and automated workflows
      • Operate as a trusted advisor for the Machine Learning space, helping to shape use cases and implementation in an integrated manner
      • Support the productionization and deployment of data science models and pipelines
    • Optimization
      • Define standards and create reference implementations pattern for machine learning / AI solution and Azure PaaS
      • Responsible for successful analysis, high-level design and delivery of cloud projects
      • Partner with data scientists and machine learning engineers to review and co-optimize technical designs
      • Optimize machine learning and relevant data processing code for scale and robustness
    • Cost Management
      • Facilitate in determining architecture goals, cost estimating solutions and reviewing existing cloud deployments for potential improvements to design, availability, recoverability and cost optimization
      • Engage 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 vulnerabilities
      • Partner 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 assets
    Qualifications:
    • Knowledge of Azure relevant certifications such as Azure Solutions Architect, Azure AI Engineer
    • Deep knowledge in the Machine Learning and data space including designing, building, optimizing and scaling data-intensive Client solutions using distributed computing
    • Ability to see and implement patterns that enable solution simplification
    • Ability to influence through persuasion
    Experience:
    • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience
    • 5+ years of experience in an architecture or engineering role focusing on machine learning models and deploying them into production at scale
    • Experience with next generation architectural concepts, including Integrations, advanced analytics, cloud analytics, big data, artificial intelligence, and/or machine learning
    • Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems
    • Experience 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 IaaS
    • Experience with orchestration frameworks
    • Experience with natural language processing or deep learning frameworks such as Tensorflow, Pytorch, or HuggingFace, etc
    • Strong analytical and problem-solving skills
    Self-motivated individual that thrives in a dynamic environment

    Diverse 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.
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