Azure Engineer

AR Val services
$60 / Hour 
Senior level

Job Description

Responsibilities :

Machine Learning / AI Platform

  • Design, develop and document cutting-edge ML 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 ML/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 ML 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


o Defines architecture blueprints for end-to-end systems to including integration of applications, systems, platforms and technical infrastructure

o Design infrastructure, tools, utilities, and automated workflows

o Operate as a trusted advisor for the Machine Learning space, helping to shape use cases and implementation in an integrated manner

o Support the productionization and deployment of data science models and pipelines


  • 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 lay 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


  • 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 ML solutions using distributed computing
  • Ability to see and implement patterns that enable solution simplification
  • Ability to influence through persuasion


  • 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

Job Type: Contract

Pay: $60.00 per hour

Experience level:

  • 9 years


  • 8 hour shift
  • Monday to Friday


  • Machine Learning / AI Platform: 9 years (Required)
  • blueprints: 9 years (Required)
  • tools, utilities, and automated workflows: 9 years (Required)
  • integrated manner: 9 years (Required)
  • data science models and pipelines: 9 years (Required)
  • Azure PaaS: 9 years (Required)
  • cloud projects: 9 years (Required)
  • technical designs: 9 years (Required)
  • Cost Management: 9 years (Required)
  • Python and SQL: 9 years (Required)
  • Apache Spark, Hadoop, Databricks, Snowflake: 9 years (Required)
  • Docker/Containers, Kubernetes, cloud APIs and IaaS: 9 years (Required)
  • orchestration frameworks: 9 years (Required)
  • Tensorflow, Pytorch, or HuggingFace: 9 years (Required)
  • architecture principles and core data assets: 9 years (Required)

Work Location: Remote

Ref #
30+ days ago
Last updated 30+ days ago

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