- Lead and mentor teams of data scientists and ML engineers
- Manage client relationships and promote satisfaction with deliverables
- Translate intricate business challenges into AI-driven strategies
- Design and implement AI solution architectures
- Drive innovation and excellence in client engagements
- Analyze data to derive actionable insights and solutions
- Collaborate with stakeholders to align on project objectives
- Uphold exceptional standards of quality and integrity in every task
Requirements
- Bachelor's Degree
- At least 7 years of experience in AI/ML engineering, data science, or a related technical role
- Master's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field preferred
- Experience with Large Language Models and prompt engineering
- Building scalable, cloud-native microservices and containerized deployments
- Proficiency with MLOps tooling and CI/CD pipelines for ML
- Experience with vector databases and semantic search architectures
- Translating complex business problems into AI solution designs
- Contributing to business development and proposal writing
- Cloud certifications in AI/ML or solutions architecture preferred
- Familiarity with Responsible AI principles and bias mitigation practices
Core Competencies
Demonstrates expertise in AI/ML engineering and data science, with a strong focus on designing AI solution architectures and managing client relationships. Proven ability to lead teams, drive innovation, and uphold quality standards in project execution.
Highest-signal resume keywords
- AI/ML Engineering
- Large Language Models
- MLOps Tooling
- Cloud-Native Microservices
- Responsible AI Principles
ATS Optimization Keywords
Hard Skills
- Data Science
- AI Solution Architecture
- Prompt Engineering
- Semantic Search Architectures
- CI/CD Pipelines
Soft Skills
- Team Leadership
- Client Relationship Management
- Collaboration
- Business Development
Certifications & Qualifications
- Bachelor's Degree
- Master's Degree in Computer Science
- Cloud Certifications in AI/ML
Industry Keywords
- AI-Driven Strategies
- Bias Mitigation Practices
- Quality Standards
- Actionable Insights
Tools & Technologies
- Vector Databases
- Containerized Deployments