HYBRID HIRING: AI Engineer Manager | Python Backend/Fullstack

Salary: ₱140,000 – ₱200,000 per month

• 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

You can send your CV to mikaella.lumague@talenthero.co