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3 дня назад

Lead Software Engineer (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Software Engineer (AI/ML): Building event-driven, GenAI-centric infrastructure and automated ETL pipelines for financial funds data with an accent on LLM deployment, NLP workflows, and scalable Python services. Focus on leading a 10-person technical team, designing cloud-based AI/ML systems, and solving production reliability and data-processing challenges.

Location: Manila, Philippines — One Le Grand Tower

Company

hirify.global provides financial data, analytics, and software solutions to investment professionals and financial institutions worldwide.

What you will do

  • Design, fine-tune, and deploy open-source and commercial large language models, including Llama, Mistral, and OpenAI GPT.
  • Build prompt-engineering, few-shot prompting, NLP/NLU, and agent-based AI workflows.
  • Develop reusable Python pipelines and architect APIs, microservices, and cloud-based AI/ML systems.
  • Lead architecture, design, implementation, code quality, incident resolution, and production troubleshooting.
  • Lead and mentor a 10-member technical team while collaborating with stakeholders and engineering teams.

Requirements

  • 8–12 years of industry experience, including 3+ years in senior or lead roles delivering ML/AI solutions in cloud environments.
  • Bachelor’s or master’s degree in computer science or an equivalent qualification.
  • Advanced Python expertise for ETL pipelines, object-oriented design, optimization, testing, and packaging.
  • Experience with relational databases such as MySQL, PostgreSQL, or MSSQL and with AWS, Azure, or GCP.
  • Experience deploying and scaling AI/ML services using containers, serverless technologies, and infrastructure as code.
  • Proven mentoring, system-design, cross-team leadership, organization, and technical communication skills.

Nice to have

  • Experience with C++, PySpark, Databricks, ML lifecycle tools, CI/CD, monitoring, and model governance.
  • Knowledge of secure cloud design, IAM, encryption, and compliance frameworks.

Culture & Benefits

  • Work within a funds engineering organization developing financial data products and distribution services.
  • Contribute to an event-driven, GenAI-centric data-processing ecosystem.
  • Collaborate in an environment that values diverse perspectives, curiosity, and technical discussion.
  • Support products used by more than 200,000 investment professionals worldwide.

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