Jobs · cutshort
AI ML Engineer
Solstice Analytics · Remote · Indexed today
About the role
Develop and maintain web applications and integrate AI/ML models using Django and Flask on AWS.
Key Responsibilities: ● Develop and maintain web applications using Django and Flask frameworks. ● Design and implement RESTful APIs using Django Rest Framework (DRF). ● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. ● Build and integrate APIs for AI/ML models into existing systems. ● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. ● Implement transformer architectures (e.g., BERT
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Responsibilities
- ▸Develop and maintain web applications using Django and Flask
- ▸Design and implement RESTful APIs using DRF
- ▸Deploy, manage, and optimize applications on AWS
- ▸Build and integrate APIs for AI/ML models
- ▸Create scalable machine learning models using PyTorch, TensorFlow, scikit-learn
Must-have skills
- ▸django
- ▸flask
- ▸django rest framework (drf)
- ▸aws
- ▸pytorch
- ▸tensorflow
- ▸scikit-learn
- ▸bert
FAQ
Is the AI ML Engineer role at Solstice Analytics remote?+
This AI ML Engineer position is listed as remote (Remote).
What is the salary for the AI ML Engineer role at Solstice Analytics?+
The listing states 460000-920000 INR.
What seniority level is this AI ML Engineer role?+
This is a unknown level position.
What skills does the AI ML Engineer role require?+
Key requirements include django, flask, django rest framework (drf), aws, pytorch, tensorflow, scikit-learn, bert.
How do I apply for the AI ML Engineer role at Solstice Analytics?+
Use the "Apply on cutshort" button to open the original posting on cutshort, where you can submit your application directly to Solstice Analytics.