Software Engineer, MLOps

Motive empowers people running physical operations with tools to make their work safer, more productive, and profitable, serving over 120,000 customers across various industries.
Pakistan
Machine Learning
Senior Software Engineer
Remote
4+ years of experience
AI · Enterprise SaaS

Description For Software Engineer, MLOps

Motive is seeking a Software Engineer specializing in MLOps to drive crucial infrastructure and platform initiatives related to AI/ML pipelines. This role involves designing, developing, and deploying scalable cloud AI/ML pipelines for customer-facing inference and visualization services. The ideal candidate will have 4+ years of experience in designing and implementing scalable software systems, with hands-on experience in MLOps and DevOps tools. Key responsibilities include improving the velocity of AI and deep learning model development and deployment, implementing best MLOps practices, addressing availability issues, and collaborating with cross-functional teams. The role also involves mentoring junior team members and requires excellent communication skills. Knowledge of computer vision, deep learning, or statistical modeling is a strong plus. Motive values diversity and inclusion, offering a chance to work on cutting-edge AI/ML infrastructure in a rapidly growing company serving various industries.

Last updated 5 months ago

Responsibilities For Software Engineer, MLOps

  • Design, develop and deploy MLOps infrastructure for AI and deep learning models
  • Design, develop and deploy scalable cloud AI/ML pipelines for customer-facing inference and visualization services
  • Develop and implement best MLOps practices
  • Address availability issues, scale pipelines, and improve features while maintaining SLAs
  • Collaborate with cross-functional teams
  • Mentor junior team members

Requirements For Software Engineer, MLOps

Kubernetes
Python
  • 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 data structures, algorithms and software engineering
  • Excellent verbal and written communication skills

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