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Senior AI & Machine Learning Engineer – Lead – Architect – Head
Naveera Technology LLCSenior AI & Machine Learning Engineer designing scalable AI solutions for diverse industries. Leading projects in Generative AI and traditional machine learning technologies.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying machine learning and deep learning models, with a strong focus on Generative AI applications and large-volume data processing. Proven ability to collaborate with cross-functional teams and ensure model performance in production environments.
Highest-signal resume keywords
AI & Machine Learning ExperienceGenerative AI ExpertisePython ProficiencyML Libraries (Scikit-learn, XGBoost, PyTorch/TensorFlow)Problem-Solving Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningGenerative AIData ProcessingModel Optimization
Soft Skills
Analytical SkillsCommunication Skills
Industry Keywords
Large DatasetsCross-Functional CollaborationModel Performance MonitoringInsurance Use Cases
Tech Stack
Tools & technologiesPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Design, develop, and deploy end-to-end machine learning and deep learning models.
- Build scalable solutions for large-volume data processing.
- Develop and optimize Generative AI applications using LLMs.
- Collaborate with cross-functional teams on use cases in insurance.
- Ensure model performance and monitoring in production environments.
Requirements
What you’ll need- 7 to 15 years of experience in AI & Machine Learning.
- Strong expertise in traditional machine learning and Generative AI (LLMs).
- Proficiency in Python and ML libraries (Scikit-learn, XGBoost, PyTorch/TensorFlow).
- Experience with Generative AI applications and large datasets.
- Strong problem-solving and analytical skills.
- Excellent communication with technical and business stakeholders.
Benefits
Comp & perks- Flexible remote work environment.
- Exposure to global enterprise customers.
- Collaborative, innovation-driven engineering culture.
- Continuous learning and certification opportunities.