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Senior Engineer, MLOps Platform

Job Description

 

About Entrupy
Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods.

Entrupy's solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy's solutions in market:

  • Entrupy Luxury Authentication
  • Entrupy Sneaker Authentication
  • Entrupy Fingerprinting

As we continue to build...
We're seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world — we'd love to have you apply.

About the role
Entrupy is seeking a Senior ML-Ops Engineer to join our team responsible for our machine learning ops & infrastructure. This is an onsite role based out of our Bangalore office. This role will report to Ashwath, Director of Engineering

This role involves a mix of technical oversight, technical contribution, and operations work. In addition, this role will serve as a point of contact with various US-based and IN-based teams responsible for model delivery: annotation teams, infrastructure engineers, machine learning engineers, and products.
Some project areas this team is responsible for include:

  • Infrastructure and libraries to define, deploy, run, and monitor training and inference jobs
  • Providing interfaces and tooling for ML engineers to work with
  • Job graph visualization and analytics
  • Bringing research models and code to production
  • Hybrid cloud server provisioning and automation
  • Internal dashboards and annotation tools
  • Contributing to best practices and methodology guidelines for data science teams
  • Platform advocacy, training, and mentoring

Location: Bangalore, India. Hybrid

What You'll Do:

  • Work with engineering leads to define and build new features and subsystems for our machine learning platform.
  • Build interfaces and tools for researchers, engineers, and data teams.
  • Help bring research algorithms into production and scale them alongside their products.
  • Develop and maintain automated testing and contribute to integration testing and rollouts.
  • Assist research and product teams in the use of the platform.
  • Stay in regular communication with research and product teams to understand how the platform can best assist in other teams' objectives.
  • Participate in code review and contribute to Entrupy's technical standards.
  • Mentor junior developers & researchers.
  • Manage annotation work from first and third-party annotation teams as required.
  • Collaborate with infrastructure teams to provision services and establish deployment workflows.

Who you are:

  • Experience with data pipelines, job schedulers or applied machine learning systems.
  • Experience with architecting, implementing, deploying, and monitoring backend systems.
  • Prior history in deploying, maintaining, and monitoring machine learning models in production environments, with a focus on model lifecycle management (retraining, versioning, etc.).
  • Strong proficiency with Python.
  • Experience maintaining infrastructure on AWS or other cloud services.
  • Experience with reviewing code/pull requests from junior developers.
  • At least 5+ years of software development experience.

Good to have

  • Experience with cloud automation and DevOps tools (logging, CI, GitHub Actions and Shell Scripting etc).
  • Experience with low-latency services and performance-sensitive code.
  • Familiarity with Anyscale for scalable and distributed machine learning workloads is a plus.
  • Experience with data visualization or analytics (Eg: Tableau).
  • Experience with tools like AWSCloudFormation or Terraform is a plus.
  • Experience with orchestration frameworks (Airflow)
  • Experience with Experiment Tracking and model versioning (Weights and Biases, MLFlow)
  • Experience with Model monitoring and alerting (Grafana, Prometheus, Data Dog)
  • Previously worked in a startup-like environment.
     

Skills

  • Python
  • Devops
  • AWS
  • Shell Scripting
  • Terraform
  • ML

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Nov 06, 2024

Experience

5-10 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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