HTC Global Services

HTC Global Services

Artificial Intelligence Specialist (AI/ML Engineer)

Dearborn, Michigan, USA · Senior · full-time

Sponsorship not specifiedDetected 109 days ago
PythonAlgorithmsAWSGCPAzureCloud PlatformsMachine LearningDeep LearningData AnalysisData ScienceNLPLLMsMLOpsA/B TestingStakeholder ManagementResearchCommunicationProblem SolvingCritical Thinking

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 23 green-card filings in this occupation, 96% were for a worker who already held the job.

Third-party placement is common here

48% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 27 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: State Farm Mutual Automobile Insurance Company · Ford Motor Company · American Family InsuranceFiles as an H-1B dependent employer.

Green-card follow-through: 65%

Of 20 labor certifications old enough to have been used, 7 expired without the employer filing the next step. Median time from filing to decision: 484 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

56 transfer filings in the last year, covering 56 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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Responsibilities

  • Understand business requirements and develop AI algorithms, models, and applications to solve complex problems.
  • Generate recommendations, identify patterns, make predictions, interpret sensor data, and support intelligent automation capabilities.
  • Perform large-scale experimentation and develop data-driven applications that convert data into actionable insights.
  • Partner with business stakeholders to gather and document requirements and translate them into technical specifications for AI solutions.
  • Lead deployment and integration of pre-developed AI models into cloud-based environments.
  • Collaborate with knowledge graph engineering teams to integrate AI models with enterprise ontologies and graph-based data.
  • Design and maintain automated pipelines supporting model inference and data integration.
  • Develop reusable integration patterns and data contracts to support scalable AI implementations across multiple business functions.
  • Drive innovative applications of AI technologies, including:

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of relevant professional experience.
  • 3+ years of progressive experience in AI/ML, data science, or advanced analytics delivering production-grade solutions in enterprise environments.
  • Familiarity with graph query languages such as Cypher.
  • Experience with MLOps principles and tools such as: Azure ML AWS SageMaker Google Cloud Platform AI Platform Kubeflow MLflow Experience designing and implementing AI-specific SDLC processes.
  • Strong expertise with cloud services and AI platforms, including Google Cloud Platform and Vertex AI.
  • Experience with data integration patterns.
  • Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Experience with MLOps principles and tools such as:

Skills

  • Execute AI-assisted software development practices using AI-powered development tools and automated workflows.

Benefits

  • This role involves working with AI models, machine learning technologies, knowledge graph integrations, cloud-based AI platforms, and MLOps practices to deliver scalable, production-grade solutions.
  • Artificial Intelligence & Expert Systems Machine Learning Data Science Data Modeling Software Development Lifecycle (SDLC) Strong proficiency in Python and SQL.
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This listing is sourced directly from HTC Global Services's careers page and normalized into a canonical job model.