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 50 days ago
PythonFastAPISQLNoSQLVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData ScienceNLPComputer VisionLLMsRAGAgentic AI
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.
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