LLM Machine Learning Engineer

OrangePeople, were more than a consulting firmwere a people-first, high-touch organization committed to delivering transformative technology solutions with integrity and passion. Currently, We are seeking an experienced Machine Learning for a global automotive company to spearhead the GenAI Product project, an innovative enterprise AI solution that delivers bespoke architecture recommendations by combining organizational best practices with industry standards. The ideal candidate will lead a team and drive the development of our AI-powered solution architecture platform.

Key Responsibilities:

• Lead the development and implementation of the GenAI Product platform, including its core components: StreamSync, RAGCore, DocForge etc.
• Manage and mentor ML scientists.
• Design and optimize Retrieval-Augmented Generation (RAG) systems for processing enterprise architecture documents.
• Develop and implement advanced NLP solutions for document analysis and knowledge extraction.
• Architect scalable ML pipelines for processing and analyzing Solution Architecture Documents (SADs).
• Collaborate with enterprise architects and stakeholders to understand requirements and deliver AI-powered solutions.
• Drive technical decision-making for ML infrastructure, model selection, and system architecture.
• Ensure compliance with enterprise standards and security requirements.
• Lead ML model evaluation, optimization, and deployment strategies.
• Establish best practices for ML development and documentation.

Required Qualifications:

• Master's in Computer Science or Machine Learning or related field.
• 5+ years of experience in machine learning, with at least 2 years in leadership roles (optional).
• Expertise in Natural Language Processing and Large Language Models.
• Knowledge of RAG systems and vector databases.
• Knowledge of enterprise software development and system architecture.
• Expert knowledge of Python and ML frameworks.
• Experience with cloud platforms (AWS) and MLOps practices.
• Understanding of enterprise architecture principles and documentation.

Preferred Qualifications:

• Familiarity with architecture documentation tools (e.g., Lucid).
• Background in enterprise solution architecture.
• Experience with vector databases (e.g., Azure CosmosDB).
• Experience in building GenAI systems (e.g., RAG).

Technical Skills:

• Machine Learning: Advanced NLP, LLMs, RAG systems, vector embeddings.
• Programming: Python, API development.
• Cloud & Infrastructure: AWS, Azure, containerization.
• Data Processing: Document processing pipelines, text analytics.
• Tools & Frameworks: Llama-index, LangChain, PyTorch/TensorFlow, vector databases, MLOps tool.

Benefits:

• Health Insurance, Accident Insurance.
• The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities:

• Participate in OrangePeople monthly team meetings, and participate in team-building efforts.
• Contribute to OrangePeople technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.