ML Engineer

Kairos Technologies; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Kairos Technologies in India is seeking an ML Engineer to develop image analysis algorithms and build end-to-end computer vision solutions.

You will design deep learning architectures, work with PyTorch and TensorFlow, and deploy models into production while collaborating with cross-functional teams.

Candidates with strong mathematical foundations and experience in MLOps and Azure are encouraged to apply.

Qualifications

• Bachelor's degree in mathematics, computer vision, computer science, ML or related field.
• Strong knowledge of image analysis algorithms and deep learning architectures.
• Experience with computer vision libraries and tools.
• Ability to work in a collaborative setting and meet deadlines.

Responsibilities

• Develop image analysis algorithms and classify images.
• Design and implement deep learning architectures for vision tasks.
• Build platforms for image processing and visualization.
• Collaborate with developers to deploy CV models in production.

Skills

Computer Vision

Gen AI

Deep Learning

MLOPS

Azure

PyTorch

TensorFlow

Job description

Role & responsibilities

ML Engineer

Will need to have various software skills in the areas of database management development environment and component or objectoriented software and programming languages Computer vision engineers are often asked to multitask and focus on more than one objective at once The job requires working efficiently in a collaborative setting Like many other careers in computer science computer vision engineering requires high levels of selfmotivation and the ability to coordinate with other teammates Analytical and criticalthinking skills are important because these engineers work on complex problems and must be able to analyze results for making accurate conclusions Logical thinking clear reasoning and being detailoriented are critical skills in a computer vision engineer position because of the short deadlines and amount of research and programmingrelated work required of computer vision engineers Every computer vision engineer is required to have the ability to Develop image analysis algorithms For example algorithms allow programs to recognize and classify images into categories Develop Deep Learning architectures to solve problems Deep learning is a sector of artificial intelligence used by computer vision engineers to create powerful image recognition or video analysis models Design and create platforms for image processing and visualization Aside from building architectures and using algorithms computer vision engineers are often tasked with helping to or being assisting developers of the hosts of computer vision models which involves the designing of apps websites or devices that will run computer vision models Use knowledge of computer vision libraries Since computer vision engineers use programming and coding to create computer vision models their job descriptions often require them to be comfortable with libraries specific to the computer vision task at hand Understand dataflow programming Dataflow programming is a programming feature that models a program as a directed graph of the data flowing between operations and involves implementing dataflow principles and architecture In addition to the above skills youll also likely need at least a bachelors degree in mathematics computer vision computer science machine learning information systems or other related fields of study

Skills Computer Vision Gen AI Deep Learning MLOPS Azure PyTorch Tensorflow

Preferred candidate profile