Raas Infotek LLC

Raas Infotek LLC

Senior AI/ML Engineer

Plano, Texas, USA · Senior · Contract

Sponsorship not specifiedDetected 68 days ago
JavaScriptPythonJavaScalaDjangoFastAPIFlaskGitSQLPostgreSQLMySQLMongoDBRedisElasticsearchCassandraBigQuerySnowflakeRedshiftDatabricksVector DatabasesAWSGCPAzureCloud Platforms

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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from this employer's Department of Labor filings

Third-party placement is common here

47% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 18 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Universal Service Administrative Co (Telecommuting From) · Corebridge Financial (Telecommuting From) · Department of Labor (Telecommuting From)Files as an H-1B dependent employer.

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About the role

  • We are seeking an experienced Senior AI/ML Engineer with 12+ years of experience in designing, developing, deploying, and optimizing Artificial Intelligence and Machine Learning solutions across enterprise environments.
  • The ideal candidate should have expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), MLOps, cloud platforms, and scalable AI architectures.
  • The candidate will collaborate with cross-functional teams to build production-ready AI systems that solve complex business problems.

Responsibilities

  • Design, develop, and deploy end-to-end AI/ML solutions for enterprise applications.
  • Develop and fine-tune Large Language Models (LLMs) using prompt engineering, RAG, PEFT, LoRA, and model optimization techniques.
  • Build AI-powered applications using Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI workflows, and Vector Databases.
  • Develop production-grade ML pipelines for model training, validation, deployment, monitoring, and retraining.
  • Create scalable data pipelines for structured and unstructured datasets.
  • Optimize AI models for latency, accuracy, and cost efficiency.
  • Build REST APIs and AI microservices for enterprise applications.
  • Implement responsible AI practices including explainability, fairness, security, governance, and compliance.
  • Collaborate with Data Engineers, Data Scientists, Software Engineers, Product Managers, and DevOps teams.
  • Lead AI architecture discussions and mentor junior engineers.

Requirements

  • Hands-on experience with cloud-native AI services (AWS, Azure, or Google Cloud Platform).
  • Strong understanding of MLOps, model lifecycle management, and CI/CD automation.

Nice to have

  • Conduct model performance analysis and continuous improvement.
  • Stay updated with emerging AI technologies, research papers, and industry best practices.
  • Master''s degree is preferred.
  • 12+ years of overall IT experience with at least 6+ years in AI/ML engineering.

Benefits

  • Build scalable Machine Learning and Deep Learning models for classification, prediction, recommendation, forecasting, NLP, and computer vision use cases.
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