839 IT & Software Developer jobs in the US
Requirements
Must:
- Expertise in AI/ML architecture and enterprise integration
- Strong understanding of Retrieval-Augmented Generation (RAG) frameworks
- Familiarity with Identity and Access Management (IAM), Role-Based Access Control (RBAC), and financial services compliance
- Proficient with cloud platforms such as AWS and Azure, as well as containerization technologies
- Strong skills in Python and frameworks like TensorFlow and PyTorch
- Experience with OpenAI and Cohere APIs, along with local embedding models
- Knowledgeable in Natural Language Processing (NLP), semantic search, and multi-turn conversation design
- Familiar with Continuous Integration/Continuous Deployment (CI/CD) for machine learning pipelines
- Strong backend development skills, especially in Java and Python
- Experience working with vector databases like OpenSearch, Pinecone, or Weaviate
- Proficient in API development and integration with enterprise-level systems
- Well-versed in data security practices and compliance frameworks
- Expertise in SQL, data modeling, and ETL tools
- Familiar with AWS Textract or Optical Character Recognition (OCR) services
- Experience with financial data schemas and governance practices
Responsibilities
- Design comprehensive architecture for AI agents from end to end
- Define integration points for authentication, authorizations, and existing systems
- Oversee the implementation of a centralized Vector Store and ingestion pipeline
- Ensure compliance with applicable security and regulatory standards
- Implement generation of embeddings and conduct vector similarity searches
- Optimize models to enhance performance (target response times under 30 seconds, accuracy above 90%)
- Collaborate on developing features for explanation and compliance
- Create an ingestion pipeline for both structured and unstructured content
- Implement a scalable Vector Store that supports metadata and entitlement-aware retrieval
- Integrate with content platforms such as AEM, SharePoint, and Content Cloud
- Ensure adherence to audit logging and encryption standards
- Develop both automated and manual test plans for AI agents and content retrieval systems
Description
We are a dynamic company focused on advancing AI technology. Our team is dedicated to creating innovative solutions that comply with the highest security standards. By joining us, you will have the opportunity to work in a collaborative environment where your contributions will directly impact our projects and initiatives. We offer competitive benefits and a chance to work with leading-edge technologies from our location.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 839 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Sched LLC, Jump, Meitou Inc., Gatekeeper Systems Inc, Asset Inventories Inc., Journey Freight International inc, D3 Security Management Systems among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Raytheon as they are hiring for 22 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Raytheon as they are hiring for 22 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.