Arkose Labs Recruitment Drive | Hiring Data Scientist – Fresher / Experienced

Arkose Labs Recruitment Drive:

Education:

Degree in Computer Science, Machine Learning, Artificial Intelligence or any other related field from a recognized University with Bachelor’s, Master’s or PhD.
Technical Skills:
Good knowledge of classical and modern CV frameworks, such as YOLO, FasterRCNN, ViT or BLIP.
Expertise in Artificial Intelligence and Deep Learning with special emphasis to Computer Vision.
Expertise in Python programming.
Experience with Machine Learning frameworks: Tensor flow, Pytorch and keras.
Knowledge regarding basic data manipulation tools such as Pandas and NumPy.
Other Skills:
Good passing skills and good numeracy skills.
Interpersonal skills and more specifically, communication skills especially in a context of collaboration between different departments.
Passion to know the recent development in the fields of Machine Learning and Computer Vision.
Features that enable work in isolation with emphasis on personal and individual responsibility as well as individual commitment towards the project.
Project-oriented with a people-first and team approach.

Computer Vision models and algorithms Object Detection and other tasks on the basis of models and algorithms to be further developed, implemented and optimized.
Ensure that solutions developed are in line with the project’s requirements by integrating well with software engineering, product management, and technical arts teams.
Continuously learn and identify new and most efficient approaches in Machine Learning as well as Computer Vision.
Assess the results of the model and make suggestions that will help with further enhancement of the model.
Prepare and share technical reports of the advances as well as site and analysis to the technical and non-technical audiences.

Model Development: X. Emphasis on the improvement and application of the new Computer Vision models, for instance Object Detection and Recognition Systems.
Innovative Tech: This is the most important, as it means working with state-of-the-art technologies such as YOLO, FasterRCNN, and Transformer-based Models (ViT, BLIP) to build effective solutions.
Team Collaboration: Co-ordinate with engineers. product managers, and technical artists to integrate the developed AI solutions in production environments.
Continuous Learning: Always venture into research and ensure that the organization’s knowledge of advanced advancements in the field of Machine Learning and Computer Vision is up to date, and this will help in increasing the performance and accuracy of the models.
Growth Opportunities: For the newcomers, Arkose Labs provides an opportunity to develop and discover new solutions and for the experienced workers it is the same chance to make a great contribution to the development of technologies.