AI/ML Engineer

ATOMIT Corp.; Makati; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

ATOMIT Corp. in Makati, Philippines, seeks an experienced AI/ML Engineer to take ideas from concept to production. You will design, train, test, and integrate ML models into core systems, delivering scalable AI solutions that drive business value.

You will build APIs and backend services, ensure production-ready inference, and collaborate with product managers to translate objectives into technical requirements. A strong emphasis on MLOps, documentation, and cross-functional teamwork is required.

Qualifications

• Education: Bachelor’s or Master’s in Computer Science, Data Science, AI/ML or related field.
• 3+ years of professional experience in applied machine learning or AI engineering in Fintech or Healthcare.
• Strong Python expertise with PyTorch, TensorFlow, or Scikit-learn.
• Experience building and deploying APIs (e.g., FastAPI, Flask, or Node.js).
• Familiarity with cloud environments (AWS, GCP, or Azure) and container tech (Docker, Kubernetes).
• Knowledge of ETL pipelines, data versioning, and labeling workflows.
• Deep understanding of model evaluation, validation, and hyperparameter tuning.

Responsibilities

• Collect, clean, and preprocess diverse datasets for training and testing.
• Design, build, and optimize machine learning models using both classical ML and deep learning techniques.
• Train, tune, and validate models against real-world performance metrics.
• Conduct thorough testing, benchmarking, and error analysis to ensure quality.
• Develop robust APIs and backend services to connect ML models into our main product platform.
• Partner with frontend and backend developers to embed user-facing AI functionalities.
• Optimize models for efficient inference, low latency, and production scalability.
• Package and deploy models reliably using Docker, FastAPI, or cloud ML services.
• Set up continuous monitoring tools for model accuracy, data drift, and latency.
• Maintain strict version control for models, code, and data pipelines.
• Partner with Product Managers to translate business objectives into functional technical requirements.
• Maintain clear technical documentation for model architectures, datasets, and pipeline decisions.
• Communicate technical results and insights clearly to non-technical team members and leadership.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

API Development

FastAPI

Docker

Kubernetes

Cloud platforms

ETL pipelines

Data versioning

Hyperparameter tuning

Education

Bachelor’s or Master’s in CS/DS/AI

Tools

LangChain

Pinecone

FAISS

Milvus

React

Vue

Job description

About the Role

Are you a versatile developer who thrives at the intersection of data science, software engineering, and cloud deployment? We are looking for a hands-on AI/ML Engineer who can take an idea from initial concept all the way to production.

In this role, you won't just build algorithms in isolation—you will design, train, test, and seamlessly integrate machine learning models into our core systems. You’ll serve as the bridge between raw data and impactful product features, delivering scalable, end-to-end AI solutions that directly drive our business forward.

Key Responsibilities

Data & Model Development

• Collect, clean, and preprocess diverse datasets for training and testing.

• Design, build, and optimize machine learning models using both classical ML and deep learning techniques.

• Train, tune, and validate models against real-world performance metrics.

• Conduct thorough testing, benchmarking, and error analysis to ensure quality.

System Integration

• Develop robust APIs and backend services to connect ML models into our main product platform.

• Partner with frontend and backend developers to embed user-facing AI functionalities.

• Optimize models for efficient inference, low latency, and production scalability.

MLOps & Deployment

• Package and deploy models reliably using Docker, FastAPI, or cloud ML services.

• Set up continuous monitoring tools for model accuracy, data drift, and latency.

• Maintain strict version control for models, code, and data pipelines.

Collaboration & Strategy

• Partner with Product Managers to translate business objectives into functional technical requirements.

• Maintain clear technical documentation for model architectures, datasets, and pipeline decisions.

• Communicate technical results and insights clearly to non-technical team members and leadership.

What We’re Looking For

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

• Experience: 3+ years of professional experience in applied machine learning or AI engineering in Fintech or Healthcare

• Core Tech Stack: Strong proficiency in Python and core frameworks like PyTorch, TensorFlow, or Scikit-learn.

• API Development: Proven experience building and deploying APIs (e.g., FastAPI, Flask, or Node.js).

• Cloud & DevOps: Familiarity with major cloud environments (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).

• Data Engineering: Practical knowledge of ETL pipelines, data versioning, and labeling workflows.

• ML Foundations: Deep understanding of model evaluation metrics, validation techniques, and hyperparameter tuning.

Nice-to-Haves / Bonus Skills:

• Hands-on experience with LLMs, prompt engineering, or orchestration tools like LangChain.

• Experience working with vector databases (e.g., Pinecone, FAISS, Milvus).

• Basic frontend knowledge (React, Vue) for rapid prototyping and internal tools.

What We Offer

• End-to-End Ownership: The freedom to own AI solutions across the entire lifecycle, from ideation to production deployment.

• Technical Autonomy: Real authority over design choices, tooling, and technical implementation.

• Direct Impact: Build features that directly shape key business initiatives and user experiences.

• Growth & Culture: A collaborative, continuous-learning environment supported by flexible hybrid work arrangements.