Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- Lead AI/ML Engineer for developing scalable ML/LLM services and RAG pipelines at Vanguard. Collaborating with cross-functional teams and implementing responsible AI practices.
Responsibilities
- Architect, build, and deploy RAG pipelines, including chunking, embeddings, vector stores, retrieval, ranking, grounding, and evaluation
- Design and implement Graph RAG solutions leveraging knowledge graphs for multi‑hop reasoning and structured retrieval
- Build robust, scalable ML/LLM services using Python (and Java where applicable) with well‑designed APIs and microservices
- Develop data processing pipelines for ingestion, transformation, metadata extraction, and indexing
- Implement observability, monitoring, evaluation harnesses, automated testing, and CI/CD for GenAI services
- Optimize retrieval quality, response accuracy, latency, and cost across model + retrieval layers
- Apply responsible AI, security, and governance practices for LLM systems (e.g., content filtering, guardrails, model monitoring)
- Collaborate with product, data engineering, and cloud platform teams to translate business problems into robust AI solutions
- Produce clear documentation, design specs, and operational runbooks for all delivered components
Requirements
- 3+ years of experience as an ML Engineer, AI Engineer, or similar role
- Hands‑on experience building GenAI applications and RAG systems end‑to‑end
- Strong proficiency in Python for ML/LLM development
- Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, FAISS) and embedding models
- Knowledge of LLM frameworks (LangChain, LlamaIndex, Transformers, etc.)
- Strong understanding of cloud environments (AWS/Azure) and containerized deployments
- Solid software engineering foundations — APIs, microservices, version control, testing, CI/CD
- Experience with data pipelines, ETL/ELT, and processing unstructured data
- Ability to evaluate retrieval quality, implement ranking strategies, and build evaluation datasets
- Excellent communication skills and ability to work in cross‑functional teams.
Benefits
- Health insurance
- Professional development opportunities
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.