An opportunity to change
the world !

Senior Front-End Engineer

Responsibilities:
-Design, develop, and maintain web applications using React and Next.js frameworks.
-Collaborate with cross-functional teams to define, design, and ship new features.
-Optimize applications for maximum speed and scalability.
-Ensure the technical feasibility of UI/UX designs.
-Implement responsive design to ensure compatibility across various devices and browsers.
-Integrate web applications with backend services using Node.js and Express.js.
-Develop and maintain robust APIs and services.
-Write reusable code and libraries for future use.
-Maintain and improve the performance of existing applications.

Qualifications:
-
At least 3 years of professional experience in React and Next.js development.
-Proficient understanding of web markup, including HTML5 and CSS3.
-Strong knowledge of TypeScript.
-Experience with Node.js and Express.js is highly desirable.
-Familiarity with RESTful APIs and modern authorization mechanisms, such as JSON Web Tokens.
-Solid understanding of asynchronous request handling, partial page updates, and AJAX.
-Experience with front-end development tools such as Babel, Webpack, NPM, etc.
-Proficient understanding of code versioning tools, such as Git.
-Strong problem-solving skills and the ability to work in a fast-paced environment.
-Excellent communication and teamwork skills.
Nice to Have:
-Experience with state management libraries (e.g., Redux, MobX).
-Familiarity with server-side rendering and static site generation in Next.js.
-Knowledge of modern authentication and authorization mechanisms like OAuth, OpenID Connect.
-Experience with continuous integration and deployment (CI/CD) processes.
What We Offer:
-
An opportunity to change the world and work with some of the best and smartest people in the field.
-Growth potential.
-We rapidly advance team members who have an outsized impact.
-Flexible vacation policy.
-Flexible Remotely/Office Policy
Apply:
-
Send your Resume in ( PDF Format ) to careers@aeyetechlabs.com with subject ( Senior Front-End Engineer )

ML Engineer

About The Role

As a member of the ML team you will research, design, implement, optimize and deploy deep learning to the cloud and edge devices.

A typical day to day includes reading deep learning code/papers, implementing described models and algorithms, adapting them to our setting, driving up internal metrics, working with downstream engineers to integrate neural networks to run efficiently on edge devices, and incrementally tracking and improving feature performance based on client requirements. A strong candidate will ideally possess at least one strong expertise in the following areas, and at least a familiarity in others.

Responsibilities
Train machine and deep learning models on the cloud to perform visual recognition tasks, such as segmentation and detection from scratch or using transfer-learning.

Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning and face recognition.

Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device using services such as (Sagemaker.

Customize open-source, state-of-the-art algorithms deep learning models to fit client’s needs.

Generating desired outputs and sending the payload to (socket, MQTT, RestAP) servers.

Key Qualifications:

  • 1-3 years of machine learning experience, working on production-level code.
  • The team operates in a production setting. An ideal candidate has strong software engineering practices and is very comfortable with Python programming, debugging/profiling, and version control.
  • We train neural networks on a local gpu or cloud settings. An ideal candidate is comfortable in cluster environments and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc).
  • We are at the cutting edge of deep learning applications. The ideal candidate has a strong understanding of the under the hood fundamentals of deep learning (layer details, backpropagation, etc). Additional requirements include the ability to read and implement related academic literature and experience in applying state of the art deep learning models to computer vision (e.g. segmentation, detection) or a closely related area (speech, NLP).
  • Experience with PyTorch, or at least another major deep learning framework such as TensorFlow.
  • Some experience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environment.

What We Offer:

  • An opportunity to change the world and work with some of the best and smartest people in the field across many countries.
  • Growth potential. We rapidly advance team members who have an outsized impact.
  • Flexible vacation policy.
  • Hybrid Office/Remotely Policy

Apply ( Only via EMAIL ) :

Send your Resume in ( PDF Format ) to careers@aeyetechlabs.com

with subject (Machine Learning Engineer)

DevOps Engineer

About The Role

A-eye Tech is developing consumer facing web-applications using full stack software development skills, including frontend / UI, backend business logic, and data management.

About You:

We’re seeking a DevOps engineer to build, maintain and operate the infrastructure of our client software deployment. You will be part of a team that writes and runs software and services to orchestrate the flow of data across our software/hardware solutions. We apply agile development on a modern, distributed system architecture to provide the operational foundation for high-volume 24×7 software systems.

Key Qualifications:

2+ years of experience as a DevOps engineer servicing large-scale environments.

Hands-on experience with open-source technologies such as Kubernetes, Docker, Swarm, Kafka, etc.

Expert or near-expert skills with Linux, networking, storage, and virtualization Automation with tools like Terraform, Chef, SaltStack, K8s, Docker or Ansible

Familiarity with systems management tools (Puppet, Chef, Ansible, etc.)

Proficiency in a high-level language like Ruby, Go, Java, C/C++ and/or Python

Solid practice with management and automation of CI pipelines (Jenkins, GitLab CI).

Ability to prioritize tasks and work independently.

Cloud computing knowledge (AWS, Google Cloud .. etc)

Track record of practical problem solving under pressure

BS or MS degree in Computer Science or Engineering, or equivalent experience.

What We Offer:

An opportunity to change the world and work with some of the best and smartest people in the field.

Growth potential. We rapidly advance team members who have an outsized impact.

Flexible vacation policy.

Flexible Remotely/Office Policy

Apply:

Send your Resume in ( PDF Format ) to careers@aeyetechlabs.com with subject ( DevOps Engineer )

Summer Internship

A-eye Tech is on the lookout for an outstanding Software Engineers, with a specialization in Machine Learning and DevOps. Offering Full-Time Job for the best Interns.

A-eye Tech ensures its commitment to promote and maintain a diverse workplace where each employee is respected and treated equally regardless of their background or affiliation. We believe such environment will not only lead to more efficient output, but also a welcoming space to reinforce the company’s values and maintain themes.

1) Machine Learning Intern

  • As ML Intern you will help in developing and implementing computer vision algorithms for real time platforms.
  • Train, validate and test deep learning models to solve computer vision problems.

Qualifications:

  • Strong analytical and problem solving skills.
  • Solid coursework or research background in computer vision, image processing, deep learning and machine learning.
  • Experience in C/C++, python and popular deep learning frameworks.
  • Duration: 3 Months ( Paid )
  • Senior student/Fresh Graduate from Computer Science/Engineering, Physics, Electrical/Communication Engineering or (practical software engineering experience in related fields)

2) DevOps Intern:

  • Our DevOps intern will work every day hand in hand with the R&D engineers to automate, integrate, and ensure the robust deployment of our AI and Computer-Vision applications.
  • We are looking for a jack of all trades, who enjoys customizing optimizing Dockfiles, Kubernetes performance tunning, writing Ansible roles, Terraform Modules, Helm Charts, and Airflow/kubeflow pipelines and who is excited working on k8s efficiency or HBase scalability!
  • Qualifications:
  • Basic Experience in Python scripting, Linux, Kubernetes, Docker, GIT.
  • You will be working on Linux.
  • Duration: 3 Months ( Paid )
  • Senior student/Fresh Graduate from Computer Science/Engineering, Physics, Electrical/Communication Engineering or (practical software engineering experience in related fields)

What We Offer:

  • An opportunity to change the world and work with some of the best and smartest people in the field.
  • Growth potential. We rapidly advance team members who have an outsized impact.
  • Offering Full-Time Job for the best Interns.
  • Snacks, coffee and drinks

Apply:

Send your Resume in ( PDF Format ) to careers@aeyetechlabs.com

with subject ( ML Intern or Devops Intern )