Machine Learning Engineer developing and deploying ML planning algorithms for autonomous trucks. Join Plus, a leader in AI - based virtual driver software for autonomous trucking.
About the role
- Innovation Engineer responsible for AI-driven solutions at a digital commerce company. Focused on prototyping, exploring technologies, and shaping technology strategy.
Responsibilities
- Stay ahead of industry trends, evaluate emerging AI/ML technologies, and prototype novel solutions in areas like Gen AI, Vector Search, AI Agents, VertexAI, MCP and Automation.
- Rapidly build, test, and iterate PoCs to validate new technologies for potential business impact.
- Design and develop AI/ML models, AI Agents, LLMs, intelligent search capabilities leveraging Vector embeddings.
- Explore vector databases and optimize retrieval-augmented generation (RAG) workflows.
- Develop autonomous AI agents and automation frameworks to enhance business processes.
- Work closely with software developers and product teams to integrate innovations into production-ready solutions.
- Contribute to the technology roadmap, patents, and research papers to establish leadership in emerging domains.
Requirements
- 4-8 years of experience in AI/ML, software engineering, or a related field.
- Strong hands-on expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, Claude, Gemini, VertexAI, MCP.
- Experience with LLMs, embeddings, AI search, vector databases (e.g., Pinecone, FAISS, Weaviate, PGVector), MCP and agentic AI (Vertex, Autogen, ADK).
- Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML infrastructure.
- Strong problem-solving skills and a passion for innovation.
- Ability to communicate complex ideas effectively and work in a fast-paced, experimental environment.
- Education: 4-year IT degree or equivalent
Benefits
- Health insurance
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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