An opportunity to change
the world !

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.
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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)

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.
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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 )

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