AI Engineer Manager | Hybrid

TASQ; Pateros; On-site; PHP 1,500,000 - 2,300,000; Full time

Job summary

TASQ is seeking an AI Engineer Manager to lead multidisciplinary teams in designing and deploying data-driven solutions that transform raw data into actionable insights for business growth. You will coach engineers, drive ML-enabled projects, and collaborate with business leaders to identify growth opportunities, while upholding integrity and authentic leadership.

The role emphasizes hands-on AI applications, data pipelines, and scalable architectures across cloud platforms like Azure, AWS or

Qualifications

• At least a Bachelor's degree.
• 7 to 11 years of experience.
• Oral and written proficiency in English.
• Strong full-stack or backend development skills (Python, Angular or React, RESTful APIs, microservices, SQL/NoSQL databases, testing, and software architecture).
• Hands-on experience building AI-integrated applications using LLMs, RAG, embeddings, vector databases, and LangChain, LlamaIndex, or Autogen.
• Proven cloud and DevOps capability (Azure, AWS, or GCP), Docker, Kubernetes, CI/CD, Git, security, reliability, and scalability.

Responsibilities

• Lead data science initiatives to transform raw data into actionable insights for informed decision-making.
• Guide teams in development and deployment of advanced data solutions using ML and AI.
• Apply statistical modeling and predictive analytics to address business challenges.
• Design and implement data pipelines and data lakes for large-scale processing.
• Oversee creation of data visualizations to communicate insights to stakeholders.
• Manage project timelines and budgets to deliver data-driven solutions on schedule.
• Coach team members to enhance data science and analytics skills.
• Collaborate with business leaders to identify opportunities to leverage data for growth.
• Promote adoption of innovative data engineering and analytics technologies.
• Ensure data quality and compliance within analytics frameworks.

Skills

Python

Full-stack development

English proficiency

Data science

Machine learning

Team leadership

Data visualization

Cloud computing

DevOps

Big data

RAG/LLMs

LangChain/LlamaIndex/Autogen

RESTful APIs

Microservices

SQL/NoSQL

Education

Bachelor's degree

Tools

Docker

Kubernetes

CI/CD

Git

Azure

AWS

GCP

Job description

About the Job

As an AI Engineer Manager, you will lead multidisciplinary teams in the design, development, and deployment of data-driven solutions, transforming raw data into actionable insights that drive business growth. Within our Advisory practice, you will leverage advanced analytics and statistical techniques to extract insights from large datasets, enabling informed decision-making and solving complex business problems.

As a Manager, you will enhance your leadership style by motivating and developing your team to deliver quality results. You will be responsible for coaching and leveraging team members' unique strengths to meet client expectations. With your growing business knowledge, you will play a crucial role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully.

Responsibilities

• Leading data science initiatives to transform raw data into actionable insights for informed decision-making
• Guiding teams in the development and deployment of advanced data solutions using machine learning and artificial intelligence
• Utilizing statistical modeling and predictive analytics to address complex business challenges
• Designing and implementing data pipelines and data lakes to support large-scale data processing
• Overseeing the creation of data visualizations to communicate insights effectively to stakeholders
• Managing project timelines and budgets to deliver data-driven solutions on schedule
• Coaching team members to enhance their skills in data science and analytics
• Collaborating with business leaders to identify opportunities for leveraging data to drive growth
• Promoting the adoption of innovative technologies and methodologies in data engineering and analytics
• Confirming data quality and compliance within analytics frameworks to maintain integrity

Must Have

• At least a Bachelor's degree
• At least 7 to 11 years of experience
• Oral and written proficiency in English required
• Strong full-stack or backend development skills, including Python, Angular or React, RESTful APIs, microservices, SQL/NoSQL databases, testing, and software architecture.
• Hands-on experience building AI-integrated applications, using LLMs, RAG, embeddings, vector databases, and frameworks such as LangChain, LlamaIndex, or Autogen.
• Proven cloud and DevOps capability, including Azure, AWS, or GCP deployment, Docker, Kubernetes, CI/CD, Git, security, reliability, and scalability.

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating proficiency in data science algorithms and workflows
• Utilizing machine learning and deep learning techniques effectively
• Excelling in complex data analysis and predictive modeling
• Managing data pipelines and confirming data quality
• Leveraging programming languages such as Python, R, and MATLAB
• Embracing change and innovation in technology-driven environments