Career

Experience : 1+ Years
Tools : CVAT, Superannote
Responsibilities :

• Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets

• Interact with data science and data engineering teams to design new features for more efficient labeling techniques

• Mentor junior data annotators; QA existing labels based on what you learn during your training and onboarding

• Gain an in-depth knowledge of using both commercial and custom data labeling software tools

• Evaluate metrics to help improve productivity

• Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills :

• At least 1 year of previous work experience in a corporate office environment or equivalent military experience

• Prior experience with business productivity tools like GSuite, Outlook, Microsoft Office, and Slack

• Ability to work independently but also collaborate with a team and communicate with individuals of diverse backgrounds

• Ability to understand and apply guidelines for data labeling

• Ability to perform repetitive tasks while paying constant close attention to detail

• Good organizational skills

• Ability to keep information confidential

• Deliver quality data under deadlines

Skills :TensorFlow, Pytorch, Mxnet, Onnx ,OpenCV , Python, Keras, Numpy, Pandas, Openvino, TensorRt, Linux , Scripting Amazon AWS, AWS Sagemaker
Experience : 1+ Years
Responsibilities :

• Research, prototype and survey different DL networks/algorithms that are the current state-of-art and model optimization techniques (e.g., compression, quantization).

• Develop and contribute to the implementation of various computer vision related applications as needed.

• Want experience Processing both human and inanimate objects: Real-time Object Detection techniques for 2D/3D objects, o Semantic/Instance/Pantonic segmentation, o Hand gesture recognition.

• Evaluate metrics to help improve productivity

• Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills :

• AI domain needed is computer vision. Not looking for someone out of college with one year experience. Work experience is required.

• Strong expertise with DL frameworks like TensorFlow, Pytorch, Mxnet, Onnx.

• Want experience Processing both human and inanimate objects: Real-time Object Detection techniques for 2D/3D objects, o Semantic/Instance/Pantonic segmentation, o Hand gesture recognition.

• Real-time Object Detection techniques for 2D/3D objects,Semantic/Instance/Pantonic segmentation,Hand gesture recognition,Training dataset design, augmentation, and validation.

• Experience in working with large data sets and developing ML infrastructure pipelines.

• Strong experience with python, and OpenCV required.

• Strong expertise with DL frameworks like TensorFlow, Pytorch, Mxnet, Onnx etc.

Responsibilities will include :

• Grow the pipeline through the identification and qualification of new business opportunities that are consistent with strategic priorities in a manner that takes full advantage of the entire company’s unique capabilities and differentiators.

• Partner with leadership on capture activities from inception to win by engaging with customers, primes, and partners.

• Be active in the market and a strong representative of our organisation. Use your knowledge of the Federal consulting space to position for growth and success.

• Identify opportunities to partner with other companies in the space and how Aventurine's unique differentiators can be leveraged to win Federal/Commercialopportunities.

Required Experience and Skills :

• Bachelors Degree or higher

• 8-10 years of experience in Federal Business Development

• Proven track record of experience and success

• Detail-oriented with the ability to effectively execute in a fast-paced environment

• Ability to work collaboratively and take initiative

• Experience with systems including FBO.gov, GovWin IQ, and e-Buy

• Experience with Microsoft Office Suite and Google Docs

Preferred Experience and Skills :

• Understanding of and experience in sales specific to Knowledge Management, Data and Information Management, Artificial Intelligence