Lead AI Engineer & Data Science Leader

TASQ Staffing Solutions

Taguig

On-site

PHP 1,800,000 - 2,400,000

Full time

3 days ago
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Job summary

TASQ Staffing Solutions is seeking an AI Engineer Manager to lead multidisciplinary teams in designing and deploying data-driven solutions. You will transform raw data into actionable insights, guiding stakeholders and client projects across advisory services.

You will coach engineers, leverage LLMs and AI frameworks, and drive cloud deployments with robust data pipelines. Strong leadership and English proficiency are essential for success in this role.

Qualifications

  • Bachelor's degree required.
  • 7–11 years of experience in data/AI roles.
  • Fluent English required.
  • Experience leading multidisciplinary teams and delivering client solutions.

Responsibilities

  • Lead data science initiatives to turn raw data into insights.
  • Guide development and deployment of AI/ML solutions.
  • Apply statistical modeling and predictive analytics to business challenges.
  • Design data pipelines and data lakes for large-scale processing.
  • Oversee data visualizations to communicate insights to stakeholders.
  • Manage project timelines and budgets for data-driven solutions.
  • Coach team members to grow data science skills.
  • Collaborate with leaders to leverage data for growth.
  • Promote innovative data engineering methods.
  • Ensure data quality and compliance within analytics frameworks.

Skills

Team leadership
Data science & analytics
ML/AI
Python programming
English proficiency

Education

Bachelor's degree

Tools

Docker
Kubernetes
CI/CD
Git
LangChain
LlamaIndex
Autogen
RESTful APIs
SQL/NoSQL

Job description

TASQ Staffing Solutions is seeking an AI Engineer Manager to lead multidisciplinary teams in designing and deploying data-driven solutions. You will transform raw data into actionable insights, guiding stakeholders and client projects across advisory services.

You will coach engineers, leverage LLMs and AI frameworks, and drive cloud deployments with robust data pipelines. Strong leadership and English proficiency are essential for success in this role.

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