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Job Description
📋 Description
- Lead AI/ML strategy, solution architecture, technical implementation, and modernization initiatives
- Design, develop, integrate, and deploy scalable AI/ML models and intelligent systems for
- Lead development of predictive analytics, automation frameworks, and intelligent decision-support
- Provide hands-on technical leadership through the AI/ML lifecycle from experimentation to
- Oversee data engineering pipelines, MLOps, model lifecycle management, validation, monitoring
- Integrate AI/ML in secure enterprise environments with cybersecurity, data governance, compliance
🎯 Requirements
- Bachelor’s degree in CS, Engineering, Data Science, Mathematics, or related; Master/PhD preferred.
- 10+ years in AI/ML, data science, software engineering, advanced analytics, or closely related
- At least 5 years designing, developing, deploying AI/ML in production with MLOps.
- Strong programming: Python, R, Java (or similar).
- Deep knowledge of TensorFlow or PyTorch; experience with AWS SageMaker.
- Experience in secure enterprise environments with cybersecurity, data governance
🎁 Benefits
- Estimated salary range of $204,000–$276,000, determined by experience and location.
- Medical, dental, vision insurance options.
- 401(k) with company matching.
- PTO including vacation, sick, personal, holidays, parental, etc.; paid holidays and 160 hours
- Disability, life insurance, and other coverage options.
- Flexible work arrangements and career development resources.
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