Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Machine Learning Data Engineer at Nagish

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Infrastructure, Video Data, Cloud Data Pipelines, Data Ingestion Workflows, SQL Databases, Cloud Buckets, Research Capabilities, Scripting Skills

Industry

Telecommunications

Description

As a Machine Learning Data Engineer at Nagish, you will build and maintain the data systems that power our video-based ML research. You’ll handle everything from acquiring and cleaning datasets to managing cloud pipelines and ensuring smooth, reproducible workflows for our researchers. On a day to day, you will: Source, scrape, ingest, clean, and catalog datasets Maintain data pipelines for pose estimation, segmentation, video masking, quantization, metadata, standardization etc. Manage cloud infrastructure including storage, servers, GPU clusters, and backups Interface with ML researchers to ensure data pipeline reproducibility Handle ingestion from new data recording systems Requirements 3+ years experience in Python and data infrastructure. Demonstrated experience working with video data, an advantage Proficiency managing Cloud data pipelines, and data ingestion workflows Experience with SQL databases and cloud buckets A PhD in related areas, an advantage Independent research capabilities and strong scripting skills Benefits: 😁 Work on a fulfilling life-changing product (Literally) 🗝️ Join as a key player at an early stage, and receive generous options 🏖 Unlimited time off and sick days 👯‍♂️ Annual company get-together 🐶 Bring your pet to work About Us: Nagish makes communication accessible for people who are Deaf or hard of hearing. Our team is passionate about making the world more accessible using our state-of-the-art tech - made for consumers and enterprises. We are backed by some of the best investors out there: Comcast, Techstars, Vertex, Precursor, Contour, Cardumen, and more.

Responsibilities

You will build and maintain data systems for video-based ML research, handling dataset acquisition, cleaning, and managing cloud pipelines. You will also ensure reproducible workflows for researchers and manage cloud infrastructure.