HYBRID HIRING: AI Engineer Manager | Python Backend/Fullstack

Lewis Personnel Management; Taguig; Hybrid; PHP 2,000,000 - 3,000,000; Full time

Job summary

Lewis Personnel Management in Taguig is seeking a senior lead for data science to transform raw data into actionable insights. You will guide the development and deployment of AI-powered data solutions, leveraging ML/AI techniques to address business challenges.

The role requires hands-on experience with data pipelines, models, and visualization, with strong leadership to drive cross-functional teams and ensure timely delivery of data-driven outcomes.

Qualifications

• Bachelor's degree required.
• 7–11 years of experience.
• Proficiency in English (oral and written).
• Strong backend development skills with Python and modern front-end frameworks.
• Hands-on AI applications with LLMs, RAG, embeddings, and vector databases.

Responsibilities

• Lead data science initiatives to transform raw data into insights for decision-making.
• Guides development and deployment of AI/data solutions using ML/AI techniques.
• Use statistical modeling and predictive analytics for business challenges.
• Design and implement data pipelines and data lakes for large-scale processing.
• Oversee creation of data visualizations for stakeholders.

Skills

Python

Angular/React

REST APIs

Microservices

SQL/NoSQL

Testing

Software architecture

Education

Bachelor's degree

Tools

LangChain

LlamaIndex

Autogen

Job description

• Location: BGC, Taguig




• Work Schedule: Mid shift




• Work Arrangement: Hybrid (50% WFH, 50% Onsite OR 15 Days Onsite, 15 Days WFH)

Core 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

Candidate Backgrounds We Can Consider

• 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