Remotely
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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 for decision-making, automation, and
- Lead predictive analytics capabilities, automation frameworks, and intelligent decision-support.
- Provide hands-on technical leadership through the AI/ML lifecycle from prototyping to production.
- Oversee data engineering pipelines, MLOps, model lifecycle management, validation, monitoring
- Integrate AI/ML into secure enterprise environments with cybersecurity, governance, ethical AI, and
🎯 Requirements
- Bachelor’s degree in CS/Engineering/Data Science/Math, Master’s or PhD preferred.
- 10+ years in AI/ML, data science, software engineering, analytics, with hands-on modern AI tech.
- At least 5 years designing, developing, deploying AI/ML in production including MLOps.
- Proven ability to personally develop AI/ML solutions, not just architect.
- Strong programming skills in Python, R, Java, or similar.
- Deep knowledge of ML frameworks (TensorFlow, PyTorch); experience with AWS SageMaker preferred.
🎁 Benefits
- Estimated salary range of $204,000–$276,000, dependent on experience/location.
- Medical, dental, vision insurance options.
- 401(k) with company match and pre-/post-tax options.
- Paid time off and holidays; paid family leave; disability and life insurance options.
- Flexible work arrangements.
- Career development resources and internal mobility support.
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