Dori AI Careers

We are looking for a Full Stack Developer to join our engineering team and help us develop and maintain various software products. Developer responsibilities include writing and testing code, debugging programs and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team.

Ultimately, you’ll build highly responsive web applications that align with our business needs.

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solutions
• Assess and prioritize feature requests
• Coordinate with internal teams to understand user requirements and provide technical solutions

• Work experience as a Python Developer
• Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)
• Team spirit
• Good problem-solving skills
• BSc in Computer Science, Engineering or relevant field

Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.

Job brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

Requirements
1. 2 to 4 years of relevant industry experience
2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning
3. Strong mathematical and statistics background is a must
4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
5. Strong industry experience in using design patterns, algorithms and data structures
6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models
7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
8. Experience in model building, hyper

Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full-stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security, and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.

 

Job brief:

We are looking for a Python Developer to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

 

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research.

 

Your goal will be to help our company analyze trends to make better decisions.

 

Requirements:

1. 2 to 8 years of relevant industry experience

2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning

3. Strong mathematical and statistics background is a must

4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet

5. Strong industry experience in using design patterns, algorithms and data structures

6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models

7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib.