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SeniorFull-timeMachine LearningData ScienceAIML
Salary Range
$86,190 - $116,610 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute their AI and data science strategy. This senior technical leadership role requires deep expertise in machine learning, data science, and production engineering, combined with business acumen to translate complex capabilities into customer value.
Key Responsibilities
- →Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership
- →Represent Wiser's AI capabilities to customers, partners, and advisors
- →Identify high-impact opportunities where AI can solve customer problems or create competitive advantage
- →Establish technical standards, patterns, and best practices across the organization
- →Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models
- →Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems
- →Bridge classical data science approaches with modern generative AI techniques
- →Own technical quality for AI systems end-to-end
- →Partner with product management to translate business requirements into technical approaches
- →Mentor and elevate the AI/data science team
- →Collaborate across engineering teams to integrate AI capabilities
- →Drive build-vs-buy decisions and vendor evaluations
- →Champion AI-native development practices across engineering
Requirements
- ✓Deep expertise in machine learning, data science, and production engineering
- ✓Strong business acumen to translate technical capabilities into customer value
- ✓Experience defining technical strategy for AI and data science
- ✓Proven ability to architect and build production AI systems
- ✓Experience with LLM applications, RAG pipelines, semantic search, and traditional ML models
- ✓Knowledge of rigorous evaluation frameworks and experimentation methodologies
- ✓Ability to bridge classical data science approaches with modern generative AI techniques
- ✓Experience mentoring and elevating technical teams
- ✓Strong collaboration and communication skills
- ✓Leadership experience in driving technical quality and standards
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