Raas Infotek LLC

Raas Infotek LLC

Senior AI/ML Engineer

Plano, Texas, USA · Senior · Contract

Sponsorship not specifiedDetected 22 days ago
JavaScriptPythonJavaScalaDjangoFastAPIFlaskGitSQLPostgreSQLMySQLMongoDBRedisElasticsearchCassandraBigQuerySnowflakeRedshiftDatabricksVector DatabasesAWSGCPAzureCloud Platforms

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.

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

  • 12+ years of overall IT experience with at least 6+ years in AI/ML engineering.
  • 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

  • Master''s degree is preferred.

Benefits

  • Build scalable Machine Learning and Deep Learning models for classification, prediction, recommendation, forecasting, NLP, and computer vision use cases.
  • Strong expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
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