Hyderabad, Telangana, India
Information Technology
Full-Time
Lytx, Inc.
Overview
Why Lytx?:
As our Cloud Operations Engineer - Machine Learning you will join our Applied Machine Learning Team who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the development cycle to optimize workflows, dataset generation, model performance and code efficiency to help enhance and differentiate us as the leader in the Video Safety and Telematics industry. If this sounds like you, we encourage you to apply!
What You'll Do
You go all in no matter what you do, and so do we. At Lytx, we’re powered by cutting-edge technology and Happy People. You want your work to make a positive impact in the world, and that’s what we do. Join our diverse team of hungry, humble and capable people united to make a difference.
Together, we help save lives on our roadways.
Find out how good it feels to be a part of an inclusive, collaborative team. We’re committed to delivering an environment where everyone feels valued, included and supported to do their best work and share their voices.
Lytx, Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. We’re committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.
As our Cloud Operations Engineer - Machine Learning you will join our Applied Machine Learning Team who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the development cycle to optimize workflows, dataset generation, model performance and code efficiency to help enhance and differentiate us as the leader in the Video Safety and Telematics industry. If this sounds like you, we encourage you to apply!
What You'll Do
- Build and maintain cloud deployment of ML models and surrounding infrastructure
- Contribute to infrastructure and process improvements for data collection, labeling, model development and deployment
- Design and implement R&D data engineering solutions for delivery of ML model value from device to cloud, including message payload design, data ingest and database architecture
- Help prepare and automate builds for device model deployment
- Assist on projects led by other team members via data processing, programming, monitoring of production applications, etc.
- Other duties as assigned.
- Bachelor’s degree in Computer Science or equivalent experience
- 2 to 4 years of experience with a Strong background in MLOps, Python, GNU/Linux CLI
- Versatile and adaptable engineer who can address evolving needs of team.
- Strong understanding of data engineering principles and architecture
- Knowledge of relational database modeling and integration. Experience with NoSQL is helpful.
- Ability to manage cloud resources and technologies within AWS, including Sagemaker, EC2 and S3
- Experience with software automation tools, e.g., Airflow, Ansible, Terraform, Jenkins
- Experience with automated unit testing and regression testing methodologies
- Familiar with Linux software build toolchains and patterns. (e.g., Make, gcc)
- Experience with source control and tracking (git)
- Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment
You go all in no matter what you do, and so do we. At Lytx, we’re powered by cutting-edge technology and Happy People. You want your work to make a positive impact in the world, and that’s what we do. Join our diverse team of hungry, humble and capable people united to make a difference.
Together, we help save lives on our roadways.
Find out how good it feels to be a part of an inclusive, collaborative team. We’re committed to delivering an environment where everyone feels valued, included and supported to do their best work and share their voices.
Lytx, Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. We’re committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.
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