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Jobs or company...

Data Engineer with AI/ML

  • Full Time, onsite
  • Mindlance
  • Hybrid3 days onsite 2 days remote, United States of America
Salary undisclosed

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Dice
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Title: Data Engineer with AI/ML
Location (Hybrid):Charlotte ,NC/Chandler ,AZ/Irving ,TX/Concord ,CA (3 Days Onsite in a week is mandatory)
Duration: 12 Months

Job Description: In this role, you will:

  • Participate in developing Generative AI Platform Capabilities
  • Responsible for AI model delivery to on-prem infrastructure and cloud platforms (Google Cloud Platform-Vertex AI, Azure ML)
  • Participate in day-to-day standups for platform capability builds.
  • Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications.
  • Execute on roadmaps that align with technology and business strategy. Perform hardware and capacity planning, analysis, and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery.
  • Act as an expert resource for other technical teams within DTI
  • Support of all on-prem Production infrastructure and cloud platforms including support of end users.

Minimum Requirements

  • 5+ years of Python experience
  • 5+ years of big data experience needed (Big Query, Hadoop)
  • 5+ years with Linux O/S capabilities
  • 3 years of experience in AIML area (MLOps)
  • 3 + years of supporting cloud infrastructures (Google Cloud Platform/Azure) as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.)
  • 3+ years of Pyspark experience
  • 3+ years with VMWare Virtualization technologies
  • Working knowledge of Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic and Vector DB
  • Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences.
  • Recent and demonstrated ability to influence management on technical or business solutions.
  • Working knowledge of design and build grid computing with CPU and GPU supporting AIML and NLP
  • Working knowledge of high-performance storage technologies along with Object Storage
  • Knowledge and understanding of network infrastructure to support high throughput and low latency grid computing.

Preferred Skills

  • 1+year of experience in LLM , Generative AI (developing capabilities or dev/ops)
  • Experience in developing of API on Google Cloud Platform/Azure/API Gateways
  • 1+year of experience in Elastic Search, Vector Database, Run:AI, Model Development would be added benefit.
  • Experience with data processing technology (AbInitio, Informatica, IBM DataStage)
  • Experience with large data technology (Hadoop, Teradata, Elasticsearch, etc.)
  • Understanding of Agile practices and ability to work with Agile teams to define and track user stories.
  • Experience with implementing complex F5 or other Load Balancer Technologies
  • Working knowledge of building high resiliency grid/cloud computing infrastructure supporting AIML and NLP workloads
  • Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers. As well as building best practices on those platforms.
  • Working knowledge/experience with on-premise and Public Cloud technologies, such as Cloud Foundry, Kubernetes, Docker
  • Experience in leading / facilitating analysis of current systems and problem identification and resolution.
  • Ability to lead / facilitate technically complex discussions and working sessions in person or via teleconference.

EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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