AIML Platform Engineering Lead
about 1 month

Welocalize Noida, India

Cantonese (Hong Kong) Digital Content Evaluation Specialist
about 1 month

Welocalize Hong Kong, Hong Kong

Binance Accelerator Program - Quality Assurance Engineer, Risk
about 1 month

Binance Taiwan, Taipei

Data Engineer
about 1 month

Content Square New York, NY

Account Director - Germany
about 1 month

INSIDER. Berlin, Germany

Senior Manager Fintech Solutions (Bangkok Based, Relocation Provided)
about 1 month

Agoda Bangkok, Thailand

Principal HR Business Partner, Tech/Product/Marketing (Bangkok-based, Relocation Provided)
about 1 month

Agoda Bangkok (Central Tower Office)

SOC Analyst
about 1 month

NUMBER26 Barcelona, Spain

Manager of Account Management - Enterprise
about 1 month

FareHarbor Denver, CO

Manager Inventory and InterCo Accounting
about 1 month

Hitachi Vantara Pune, India

Senior Frontend/UI Engineer
about 1 month

Mitratech Inc UK Remote

Enterprise Account Executive, Growth
about 1 month

MongoDB Paris, France

Director of Credit & Accounts Receivable
about 1 month

MongoDB Ireland

Manager of Vulnerability Management
about 1 month

CloudFlare Inc Hybrid

Manager - Demand Partnerships
about 1 month

InMobi Pte Ltd London, United Kingdom

Manager – People Team, Mergers & Acquisitions
about 1 month

InMobi Pte Ltd Bangalore

Senior Engineering Manager - Systems Engineering
about 1 month

Rubrik, Inc. Bangalore, India

Licensed Practical Nurse, LPN - Home Health
about 1 month

BAYADA Home Health Care Monroe Township, NJ 08831 | 40.326456999 | -74.441031591

Assistant Store Manager - Cabazon
about 1 month

The Reformation Inc Cabazon, CA

Strategic Account Executive - Manufacturing
about 1 month

GitLab Remote, Japan

AIML Platform Engineering Lead

See more jobs from Welocalize

about 1 month old

Apply Now

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Reference: #LI-JC1

Role Summary:
The AIML Platform Engineering Lead is a pivotal leadership role responsible for managing the day-to-day operations and development of the AI/ML platform team. In this role, you will guide the team in designing, building, and maintaining scalable platforms, while collaborating with other engineering and data science teams to ensure successful model deployment and lifecycle management.

Key Responsibilities:

  • Lead and manage a team of platform engineers in developing and maintaining robust AI/ML platforms.
  • Define and implement best practices for machine learning infrastructure, ensuring scalability, performance, and security.
  • Collaborate closely with data scientists and DevOps teams to optimize the ML lifecycle from model training to deployment.
  • Establish and enforce standards for platform automation, monitoring, and operational efficiency.
  • Serve as the primary liaison between engineering teams, product teams, and leadership.
  • Mentor and develop junior engineers, providing technical guidance and performance feedback.
  • Stay abreast of the latest advancements in AI/ML infrastructure and integrate new technologies where applicable.
  • Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in Python & Node.js development and infrastructure.
  • Proven experience in leading engineering teams and driving large-scale projects.
  • Extensive expertise in cloud infrastructure (AWS, GCP, Azure), MLOps tools (e.g., Kubeflow, MLflow), and infrastructure as code (Terraform)
  • Strong programming skills in Python and Node.js, with a proven track record of building scalable and maintainable systems that support AI/ML workflows.
  • Hands-on experience with monitoring and observability tools, such as Datadog, to ensure platform reliability and performance.
  • Strong leadership and communication skills with the ability to influence cross-functional teams.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.