Lead Engineer- Fleet Management

Job Description

If you are go-getter who can work with minimal guidance and supervision in emerging technologies, then you have the right opportunity here!

To design, develop applications for Deep learning system in autonomous driving. It will be an opportunity to solve crucial problems in handling data and building platforms in unsolved territory of technology.

1. Excellent programming/scripting skills using python, shell script, OOPS Concept.
   
2. Knowledge in system design and development with good knowledge in design patterns for scalable solutions
   
3. Design and development of Restful API
   
4. Hands on knowledge of Flask, FastAPI Web Framework
   
5. Expert in interaction with with databases (e.g., SQL, MongoDB, PostgreSQL)
   
6. Hands on experience on Azure (authentication, Blob storage, Build CI/CD pipeline, dockerization etc)
   
7. Act as lead and defines the targets for current sprint.
   
8. Review the code, has experimental mindset.
   
9. Ensures delivery with right process for quality.
   

Nice to have:

1. Worked on Starlette framework, Distributed application pipeline.
   
2. Documentation tools (eg. Sphynix, Doxygen etc)
   

You get an edge!

Proven experience in supporting training deep learning models, defining evaluation metrics, evaluating research papers and suggesting innovative solutions

Qualifications

Exp: bachelors or masters degree with 5 to 8 years experience

Area: Preferably from a product company or Start-up

Mandatory Skills:

• Expert in Python
  
• REST API/ Fast API
  
• Multiple Design patterns,
  
• Database - SQL/NoSQL
  
• Cloud - Azure
  
• Collaboration GIT, Sub-version, Azure
  
• Deep Learning Like Image Processing using OpenCV, tensorflow, numpy etc.
  

Additional Information

Interview:

1. Coding Test (Topics Python, ML)
   
2. Level 1 technical Python, ML
   
3. Level 2 technical (Hard) - Python with design patterns, Image processing.