QTech US Inc

QTech US Inc

Senior AI/ML Engineer - St Louis, IL, Belleview, KY, Collins, AR, Indianapolis, IN, Edwards, IL.

East St · Senior · Contract

Sponsorship not specifiedDetected 143 days ago
PythonFastAPISQLNoSQLVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData ScienceNLPComputer VisionLLMsRAGAgentic AI

Stay score

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

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

77% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 5 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: REMOTE - Work From Home · LPL Financial · Remote - Home AddressFiles as an H-1B dependent employer.

Files H-1B transfers

4 transfer filings in the last year, covering 4 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.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • We are seeking a highly experienced Senior AI/ML Engineer with 9+ years of industry experience in Artificial Intelligence, Machine Learning, Data Science, and Generative AI technologies.

Responsibilities

  • Design and implement scalable AI/ML solutions for enterprise applications.
  • Architect and implement Retrieval-Augmented Generation (RAG) solutions using Large Language Models (LLMs).
  • Develop AI-powered applications utilizing LangChain, LlamaIndex, and vector databases.
  • Build and optimize end-to-end MLOps pipelines for model training, deployment, monitoring, and governance.
  • Collaborate with Data Scientists, Software Engineers, Product Owners, and Business Stakeholders to define AI strategies.
  • Develop cloud-native AI solutions on AWS, Azure, or Google Cloud Platform platforms.
  • Implement responsible AI practices, model explainability, and governance frameworks.
  • Drive AI innovation initiatives and evaluate emerging technologies.

Nice to have

  • Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Experience leading enterprise AI transformation initiatives.
  • Knowledge of Graph Databases and Knowledge Graphs.
  • Experience with Agentic AI and Multi-Agent Systems.
  • AI/ML, AWS, Azure, or Google Cloud Platform Certifications preferred.
  • Soft Skills: Excellent leadership and mentoring capabilities.
  • Strong communication and stakeholder management skills.
  • Exceptional analytical and problem-solving abilities.

Skills

  • 9+ years of IT experience with at least 5+ years focused on AI/ML Engineering.
  • Expert-level Python programming skills.
  • Strong experience with Machine Learning, Deep Learning, NLP, and Computer Vision.
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
  • Extensive experience with Generative AI, LLMs, Prompt Engineering, Fine-Tuning, and RAG architectures.
  • Experience with LangChain, LlamaIndex, CrewAI, or AutoGen frameworks.
  • Expertise in Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS).
  • Strong knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
  • Experience developing REST APIs using FastAPI or Flask.
  • Proficiency with Docker, Kubernetes, and CI/CD pipelines.
  • Experience with SQL, NoSQL, and large-scale data processing frameworks.
  • Strong cloud experience with AWS, Azure, or Google Cloud Platform.

Benefits

  • Lead the development and deployment of Machine Learning, Deep Learning, and Generative AI models.
Apply directly at QTech US Inc →Create a free account for alerts like thisView QTech US Inc immigration profile

This listing is sourced directly from QTech US Inc's careers page and normalized into a canonical job model.