TC
AI/ML Engineer
TechDigital Corporation
- 🇺🇸 United States
- On-site
- Senior
- 10 hours ago
- AI/ML
- Machine Learning
- Python
- Java
- MLOps
- AI
- RAG
- AWS
- Azure
- GCP
- SQL
- scikit-learn
- XGBoost
- LightGBM
- PyTorch
- TensorFlow
- LangGraph
- LangChain
- Vector Search
- OpenSearch
- FAISS
- Pinecone
- MLflow
- Docker
- CI/CD
- REST API
- FastAPI
- Git
10 hours ago
Strong Python, LLM and Prompt engineering expertise with Java.
Experience
• 5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field.
Role Overview
• We are looking for a Senior AI/ML Engineer with strong hands-on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI.
• The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases.
Key Responsibilities
• Design and develop end-to-end Machine Learning and Deep Learning solutions.
• Build and productionize ML models using appropriate algorithms and frameworks.
• Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management.
• Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases.
• Design and implement Agentic AI solutions, including AI agents, tool calling, multi-agent workflows, and orchestration.
• Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources.
• Deploy scalable AI solutions on AWS, Azure, or GCP.
• Implement AI application monitoring, evaluation, observability, security, and responsible AI practices.
• Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions.
• Mentor junior engineers and contribute to AI architecture and technology strategy.
Core Technical Skills
• Programming: Python, SQL
• Machine Learning: Scikit-learn, XGBoost/LightGBM
• Deep Learning: PyTorch / TensorFlow
• GenAI: LLMs, Prompt Engineering, Embeddings, RAG
• Agentic AI: LangGraph, LangChain or equivalent frameworks
• Vector Search: OpenSearch, FAISS, Pinecone or equivalent
• MLOps: MLflow, Docker, CI/CD, model deployment & monitoring
• Cloud: AWS / Azure / GCP
• APIs & Engineering: REST APIs, FastAPI, Git, containerization
AI/ML Engineer · TechDigital Corporation