Position Overview Senior Machine Learning Engineer responsible for designing, building, and supporting production-grade machine learning and generative AI solutions. This role focuses on model governance, risk management, and regulatory-aware AI implementations while working closely with data scientists and software engineers in a large, collaborative team. This is a hands-on engineering role supporting models deployed to production and contributing across the full ML lifecycle, from design through release and ongoing support.
Roles and Responsibilities:- Design, build, orchestrate, and implement machine learning solutions for production environments
- Implement and support generative AI and large language model (LLM) solutions in production
- Ensure model governance, risk management, and regulatory considerations are incorporated into all solutions
- Provide ongoing support for models deployed to production applications
- Partner with internal stakeholders to gather requirements and align technical delivery
- Support release planning, coordination, and hands-on execution during release windows
- Collaborate with data scientists and software engineers within a large, cross-functional team
Required Skills (5 7 years):- Experience implementing production solutions using generative AI and LLMs
- Strong experience with machine learning solution design, build, orchestration, and implementation
- Experience building solutions with model governance, risk management, and regulatory adherence
- Hands-on experience with GPT 5.x LangChain RAG / RAGAS
Preferred Skills:- Experience in financial services
- Azure AI Search, AI Agent Service, Document Intelligence, Content Safety
- Microsoft Agent Framework / Foundry
- LangGraph ChromaDB Redis Elasticsearch Arize Deepeval
Soft Skills:- Strong written and verbal communication skills
- Ability to collaborate effectively within a team environment
Education: Bachelor's degree required
For applications and inquiries, contact: hirings@openkyber.com