Job Description
**What we are looking for**:
- Strong computer science or engineering background with 3+ years of coding experience with Python.
- Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
- Familiar with TensorFlow, PyTorch, or scikit-learn.
- Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
- Infrastructure and container technologies working experience (Terraform, Docker, Kubernetes).
- Knowledge of tools for automating deployment pipelines (GitLab CI/CD, Jenkins, AWS CodePipeline).
**Company Benefits**:
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Technology / Office stipend
- Health Coverage
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Being a consultant in our team is a fu...
- Strong computer science or engineering background with 3+ years of coding experience with Python.
- Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
- Familiar with TensorFlow, PyTorch, or scikit-learn.
- Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
- Infrastructure and container technologies working experience (Terraform, Docker, Kubernetes).
- Knowledge of tools for automating deployment pipelines (GitLab CI/CD, Jenkins, AWS CodePipeline).
**Company Benefits**:
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Technology / Office stipend
- Health Coverage
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Being a consultant in our team is a fu...
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