Data Engineer in Data Science UA

Our client's company is a young and thriving venture that is transforming the future of manufacturing by amplifying human worker capabilities through the use of deep technologies. They are backed by NASA, Amazon, USC, and another value-add Silicon Valley and global investors, and they are already working with major manufacturers such as Nokia & Airbus. Our client has a family-like working atmosphere, 300-feet underwater job intensity, and is operated under strong values and professional standards. We have just raised our Series A and are seeking to expand our founder's team with the first batch of adventurous and talented Pioneers. If what you read here resonates with you… please reach out to us because we might be looking for you.

We are looking for a Data Engineer to join our client's team.

About you

You strive under uncertainty and enjoy breaking down challenging problems into smaller solvable pieces. You have spent an extensive amount of time designing, and building high-performing technical solutions with engineering teams and have led numerous product life cycles from ideation to production. You have developed a strong skill set and intuition in proposing unprecedented & ambitious, yet efficient, and effective solutions to technical problems. You will work closely with the founding team and will have a great impact on the direction of the products and the company.

Role Description:

-You will be responsible for building and maintaining data systems and pipelines for computer vision applications, including data collection, data validation, KPI measurement and monitoring in both production and test environments.

-This role also involves ensuring accuracy, scalability, repeatability, reliability, and cost reduction of data collection, data validation, KPI measurement and monitoring.

Requirements:

-Minimum of a Bachelor's Degree in Computer Science or related field.

-Familiarity with computer vision applications and methods.

-Hands-on experience with video data collection, validation, and data metrics.

-Familiarity with JIRA, GitHub.

-Familiarity with MongDB, Azure Data Factory.

Nice to have skills:

-Experience with Wandb for ML monitoring.

-Familiarity with DataDog.

-Familiarity with AWS Step Functions.

What we offer:

-You will play a critical role in crafting the future of the company, AI, and of manufacturing tech.

-You will make a personal contribution to developing a highly advanced technology.

-Competitive compensation package with a relevant upside potential.

-We value flexibility and understand the importance of family and personal commitments.

-Everyone at our client's company has a healthy dose of humility and positive attitude