Remotely
pythonrjavaagentic aipytorchtensorflowragaws sagemaker
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 supporting
- Lead development of predictive analytics capabilities, automation frameworks, and intelligent
- Provide hands-on technical leadership throughout the AI/ML lifecycle from experimentation to
- Oversee data engineering pipelines, MLOps, model lifecycle management, validation, monitoring
- Integrate AI/ML capabilities into secure enterprise environments with cybersecurity, data
🎯 Requirements
- Bachelor’s degree in CS/Engineering/Data Science/Mathematics; Master’s or PhD preferred.
- 10+ years in AI/ML, data science, software engineering, analytics, or related field with hands-on
- At least 5 years designing, developing, deploying AI/ML solutions in production with MLOps
- Hands-on AI development experience beyond architecture/management.
- Strong programming: Python, R, Java, or comparable languages.
- Deep knowledge of TensorFlow or PyTorch; AWS SageMaker experience ideal.
🎁 Benefits
- Estimated salary range of $204,000–$276,000, with compensation based on experience, location, and
- Medical, dental, and vision insurance options.
- 401(k) with company match and pre/post-tax contribution options.
- Paid time off including vacation, sick, personal, holidays, parental, military, bereavement
- Typically 15 days vacation + 10 paid holidays; 160 hours paid family leave in rolling 12 months.
- Disability, life insurance, and other coverage options.
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