Lead Engineer, MLOps Platform

About the role

Entrupy is seeking a ML-Ops Lead to forefront a team responsible for our machine learning ops & infrastructure. This is an onsite role based out of our Bangalore office. 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

Reports to: Director of Engineering

Location: Bangalore, India. Hybrid

What You'll Do:

• Act as the people and functional manager for a small team of engineers.
• 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 of deploying and maintaining machine learning models in production.
• Strong proficiency with Python.
• Experience maintaining infrastructure on AWS or other cloud services.
• Experience with reviewing code/pull requests from junior developers.
• At least 7+ years of software development experience.

Good to have

• Experience with cloud automation and DevOps tools (logging, CI, etc).
• Experience with low-latency services and performance-sensitive code.
• Experience with modern front-end SPA frameworks, such as Vue or React.
• Experience with data visualization or analytics.
• Experience with tools like AWSCloudFormation or Terraform is a plus.
• Previously worked in a startup-like environment.

What we offer

• Market competitive and pay equity-focused compensation structure
• Hybrid with Flexible work from anywhere for 4 weeks per year
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage
• opportunity to be part of category defining start up.