Company
Technology
PrincipalMachineLearningEngineer
“Principal Machine Learning Engineer. Skills: Machine Learning, GenAI, Agentic AI, MLOps. Lead design and development of ML solutions. Lead design and development of GenAI solutions”
What You'll Achieve.
Influence cloud optimization at scale; Influence intelligent automation at scale
Industry & Context.
What They're Looking For.
Must Have
Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, 10+ years of experience in Machine Learning, AI, or Data Engineering roles, Production-scale delivery experience, Proven track record of building and deploying ML systems in SaaS, cloud, or large-scale distributed environments, Hands-on expertise with Python, Hands-on expertise with ML frameworks such as TensorFlow, PyTorch, or scikit-learn, Solid experience with cloud platforms (AWS preferred), Solid experience with infrastructure as code (Terraform), Solid experience with data processing tools such as Spark and Databricks, Practical experience with GenAI, LLMs, and Agentic AI frameworks such as OpenAI, Hugging Face, or LangChain in production environments, Leadership skills in cross-functional settings, Communication skills in cross-functional settings, Stakeholder management skills in cross-functional settings
Nice to Have
AWS preferred
What You'll Do.
Lead design and development of ML solutions
Lead design and development of GenAI solutions
Lead design and development of Agentic AI solutions
Translate business requirements into ML architectures
Translate technical requirements into ML architectures
Develop actionable development roadmaps
Build machine learning models
Deploy machine learning models
Drive adoption of MLOps best practices
Ensure reliability of ML systems
Ensure scalability of ML systems
Ensure operational excellence of ML systems
Collaborate with product teams
Collaborate with engineering teams
Collaborate with DevOps teams
Deliver AI initiatives
Integrate LLM frameworks into production systems
Integrate GenAI frameworks into production systems
Integrate LLM frameworks into customer-facing applications
Integrate GenAI frameworks into customer-facing applications
Communicate technical strategy
How You'll Work.
Team & Collaboration
Cross-functional teams; Global teams
Communication Scope
Technical strategy; Progress reporting; Insight communication
Process & Methodology
Roadmap planning
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