# AI/ML Engineer | Talent Marketplace

> Lago · Philippines (Remote) · Other · Posted 2026-08-11

**Workplace:** remote

**Department:** HireLago Talent Marketplace

## Description

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Be considered for **full-time** and **part-time** remote opportunities that match your skills and experience.

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**AI/ML ENGINEER**

Vertical: Tech

Location: Remote - Philippines, Eastern Europe, and Latin America

USD Salary: Negotiable based on experience

The AI/ML Engineer is responsible for designing, building, and deploying machine learning models and AI-powered systems that solve real business problems. This role spans the full ML lifecycle - from data preparation and model development to production deployment and monitoring - and requires a strong combination of software engineering discipline and data science expertise. The AI/ML Engineer collaborates closely with data engineers, product managers, and business stakeholders to deliver AI solutions that are accurate, reliable, and scalable.

**KEY RESPONSIBILITIES**

-   Design, develop, and deploy machine learning models for classification, regression, NLP, computer vision, recommendation, or other applicable use cases.
-   Work with data engineers to build and maintain data pipelines that feed ML model training and inference.
-   Evaluate and select appropriate algorithms, frameworks, and architectures for each problem.
-   Train, validate, and fine-tune models using best practices for avoiding overfitting and ensuring generalization.
-   Deploy models to production environments and build robust inference pipelines.
-   Monitor model performance post-deployment and implement strategies for model retraining and drift detection.
-   Collaborate with product and engineering teams to integrate AI features into applications.
-   Conduct experiments, document findings, and present insights to technical and non-technical stakeholders.
-   Stay current with advances in AI/ML research and assess applicability to the business.
-   Contribute to MLOps practices, tooling, and infrastructure.

## Requirements

-   3–5 years of experience in machine learning engineering, data science, or a related field.
-   Proficiency in Python and core ML libraries (scikit-learn, TensorFlow, PyTorch, or similar).
-   Strong understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, feature engineering).
-   Experience deploying ML models to production environments (APIs, batch pipelines, or embedded systems).
-   Familiarity with data manipulation and analysis (Pandas, NumPy, SQL).
-   Solid software engineering practices - version control, testing, and code quality.
-   Strong analytical and problem-solving skills.

**NICE TO HAVE**

-   Experience with LLMs, prompt engineering, and generative AI applications (OpenAI, Anthropic, LangChain, or similar).
-   Familiarity with MLOps platforms (MLflow, Weights & Biases, SageMaker, Vertex AI, or similar).
-   Experience with cloud ML infrastructure (AWS, GCP, or Azure AI/ML services).
-   Knowledge of data engineering tools and pipelines (Spark, Airflow, dbt, or similar).
-   Experience with NLP techniques (transformers, embeddings, RAG pipelines).
-   Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, or a related field.

## Benefits

### **Why Join the HireLago Talent Marketplace?**

-   ✅ **Become a Certified Professional** through our vetting process.
-   ✅ Showcase your profile on the **HireLago Talent Marketplace**, trusted by growing startups, agencies, and established companies worldwide.
-   ✅ Gain access to exclusive remote opportunities before they're publicly advertised.
-   ✅ Get matched with roles that fit your skills, experience, schedule, and salary expectations.
-   ✅ Build long-term career opportunities through our growing global employer network.
-   ✅ **100% free** for professionals, no placement fees, subscriptions, or hidden costs.

## Apply

[Apply at Lago](https://apply.workable.com/lago-1/j/95B955CD1E/apply)

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