We provide training data services to many of the leading computer vision and NLP companies across the globe. We are looking to add automation to improve our process and ML and AI-related services to our offering.

We are looking for a Python Developer to join our team and help us develop/maintain various automations and software products.

Python 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 know how to use server-side logic and work well in a team.

The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the fields of Computer Vision, NLP and Generative AI.

Ultimately, you’ll build highly responsive web applications and AI based automation and tools that align with our business needs.

You will be responsible for development under the guidance of a technical lead. This role would involve a lot of experimentation and demands someone who is motivated and self starter.
 

Responsibilities:

-Writing effective, scalable code

-Assist in data collection, cleaning, and exploratory data analysis to support model development and validation.

-Write code and scripts to support data preprocessing, model training, and data visualization using relevant programming languages (e.g., Python, R).

-Maintain clear and organized documentation of data, code, and models to facilitate knowledge sharing and future reference.

-Stay updated on the latest developments and best practices in machine learning and artificial intelligence to contribute innovative ideas to the team.

-Assist in testing and debugging machine learning algorithms and models to ensure their robustness and reliability.

-Implement and evaluate model performance using various metrics and help in model selection and optimization.

-Developing back-end components to improve responsiveness and overall performance

-Integrating user-facing elements into applications

-Do extensive research on available open source tools, models and experiment with them based on business needs. 
 

Skills

- Good understanding of core programming and data science concepts in Python

- Basic understanding of libraries/models for CV/NLP machine learning such as Tensorflow, scikit-learn and pandas etc

- Familiarity with Linux

- Familiarity with Docker and cloud services like AWS, GCP and Azure is an advantage.