Position: AL/ML Engineer
Client: USPTO (Federal client)
Type: Remote
No Visa restriction
Required Qualifications
- 7+ years of software development experience, with strong expertise in Java and AWS.
- 2+ years of hands-on experience in AI/ML development.
- Experience working with Generative AI and Large Language Models (LLMs).
- Strong experience with AWS cloud services.
- Experience implementing MLOps workflows and model lifecycle management.
- Experience building REST APIs and microservices for AI applications.
- Strong understanding of machine learning algorithms, model evaluation, and data processing.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Familiarity with CI/CD pipelines and DevOps practices.
Preferred Qualifications
- Experience with LLM frameworks such as LangChain, LlamaIndex, or similar.
- Experience with vector databases (Pinecone, Weaviate, FAISS, OpenSearch, etc.).
- Knowledge of RAG architectures and prompt engineering.
- Experience with AWS AI/ML services (SageMaker, Bedrock, etc.).
- Familiarity with Python-based ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience building AI-powered applications such as chatbots, recommendation engines, or document intelligence systems.
Key Skills
- Java
- AWS Cloud
- Machine Learning
- Generative AI
- Large Language Models (LLM)
- MLOps
- Microservices Architecture
- REST APIs
- Docker / Kubernetes
- CI/CD