Software Engineer, MLOps

Posted Yesterday
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Hiring Remotely in Pakistan
Remote
Mid level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Unlock the potential of the physical economy.
The Role
This role involves designing and developing MLOps infrastructure and scalable AI/ML pipelines for model training and inference. Responsibilities include automating redundant tasks, implementing CI/CD systems, and collaborating with cross-functional teams to deliver scalable solutions while mentoring junior engineers.
Summary Generated by Built In

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

In this role, you will be responsible for driving the execution of crucial infrastructure and platform initiatives related to AI/ML pipelines. These pipelines are designed for highly efficient and scalable model Training, & Inference. The responsibilities include building and developing tools, automation of redundant tasks, and CI/CD systems. This role requires someone with a strong collaborative and growth mindset. You will also look after the career development of the engineering team members.

What You'll Do:

  • Design, develop and deploy MLOps infrastructure for to improve the velocity of development and deployment of AI and deep learning models: CI/CD, input data unit and statistical testing, experiment tracking, model registry, and monitoring and alerting of production features
  • Design, develop and deploy scalable cloud AI/ML pipelines for customer-facing inference and visualization services
  • Develop, implement and administer best MLOps practices relating to model development automation, evaluation, testing and deployment
  • Focus on addressing availability issues, work on scaling pipelines, and improving features while maintaining SLAs on performance, reliability, and system availability
  • Work with technical leads and managers to understand project requirements and business needs and collaborate with engineers across teams to identify and deliver features, services & pipelines
  • Collaborate with cross-functional teams such as Backend, Frontend, and Platform to ensure the development and delivery of end-to-end product features, and robust and scalable AI pipelines
  • Mentor junior team members

What We're Looking For:

  • Bachelor’s Degree in Computer Science, Electrical Engineering, or related field.
  • 4+ years experience in designing, implementing, and operating scalable software systems and services
  • 4+ years hands-on experience with MLOps and DevOps tools (e.g., Docker, Kubernetes, Kubeflow, Spark, Airflow, AWS, CI/CD)
  • Solid CS foundations including in data structures, algorithms and software engineering
  • Excellent verbal and written communication skills.
  • You collaborate effectively with other teams and communicate clearly about your work.
  • Knowledge of one or more of computer vision, deep learning, machine learning, or statistical and predictive modeling is a strong plus

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

Please review our Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. 

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Top Skills

Docker,Kubernetes,Kubeflow,Spark,Airflow,Aws

What the Team is Saying

Laura
Valerie
Angie
Brad
Breanna
Greg
The Company
HQ: San Francisco, CA
4,000 Employees
Remote Workplace
Year Founded: 2013

What We Do

Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery. Visit gomotive.com to learn more.

Why Work With Us

We work hard, with humility and we see our efforts rewarded in tangible ways every day. At Motive, you’ll have the chance to make a difference for the drivers who keep our world moving. We trust each other to do great work because together we can achieve collective goals that reach beyond the physical economy.

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Employees work remotely.

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