ML Platform Lead for Real-Time Inference & Scale

Tala; United States; Hybrid; USD 170,000 - 210,000; Full time

Job summary

Tala, the AI-native credit infrastructure company, is seeking a Manager, Machine Learning Engineering to lead Tala’s ML Platform team. This role will manage a team of ML Engineers responsible for building platforms, frameworks, and infrastructure to train, deploy, monitor, and operate ML models at scale.

This player-coach position focuses on real-time inference, streaming data, and ensuring reliable production systems, with strong emphasis on observability and disciplined delivery across

Qualifications

• 2+ years of directly managing engineers, including hiring, performance management, coaching, and career development.
• 6+ years of backend software engineering experience in consumer-scale applications.
• At least 3 years of hands-on Python experience.
• Experience building and operating ML/inference systems in production.

Responsibilities

• Manage and develop a team of 4-6 Machine Learning Engineers.
• Own quarterly goals and ensure delivery against roadmap.
• Provide technical leadership across model infrastructure and real-time inference.
• Collaborate with Data Science, Data Eng, and Product teams to translate needs into platform solutions.

Skills

People management

Team leadership

Hiring & interviewing

Performance management

Career development

Tools

Python

AWS

GCP

Kubernetes

Docker

SQL

Job description

Tala, the AI-native credit infrastructure company, is seeking a Manager, Machine Learning Engineering to lead Tala’s ML Platform team. This role will manage a team of ML Engineers responsible for building platforms, frameworks, and infrastructure to train, deploy, monitor, and operate ML models at scale.

This player-coach position focuses on real-time inference, streaming data, and ensuring reliable production systems, with strong emphasis on observability and disciplined delivery across