Hire Hangar

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Design, build, and deploy ML models and data pipelines for diverse environments, spanning data ingestion, feature engineering, model training, evaluation, and production deployment, with emphasis on data quality, ML lifecycle, and remote collaboration across US time zones.

Location: Bogotá

Workplace: Remote

Employment Type: Contract

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, build, and maintain robust data pipelines for ingestion, transformation, and feature engineering.
•Develop, train, evaluate, and iterate on machine learning models across classification, regression, clustering, and NLP tasks.
•Fine-tune and adapt pre-trained LLMs and foundation models for specific use cases and datasets.
•Build and manage MLOps infrastructure including model versioning, experiment tracking, and deployment pipelines.
•Work with structured and unstructured data at scale — including text, tabular, and time-series data.

Pay and Benefits

Salary: USD 2,500 - 4,000 monthly

Key Requirements

•Strong Python skills with hands-on experience in core ML libraries (scikit-learn, PyTorch, TensorFlow, or similar).
•Solid data engineering experience — SQL, ETL pipelines, and working with large-scale datasets.
•Practical experience with model training, evaluation, hyperparameter tuning, and deployment.
•Familiarity with LLMs and transformer-based architectures; experience with fine-tuning or prompt engineering in production contexts.
•Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, DVC, or similar).

Experience:Data scienceMachine learningMlopsNLP

Skills:Communication

Tech Stack:PythonSQLPyTorchScikit-learnPandasNumPyMLflowWeights & BiasesDVCSnowflakeBigQueryRedshiftHugging FaceOpenAIAnthropicAWSGCPAzureSlackZoom

Company Brief

Hire Hangar

Hire Hangar connects high-growth companies with pre-vetted international talent, offering fast, cost-effective full-time and contract-to-hire placements focused on regions like Latin America, South Africa, and Egypt.

Industry: Recruitment Agencies

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: New York City, United States

Founded: 2023

Website LinkedIn Glassdoor

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Hire Hangar

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Bogotá

Workplace: Remote

Employment Type: Contract

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, build, and maintain robust data pipelines for ingestion, transformation, and feature engineering.
•Develop, train, evaluate, and iterate on machine learning models across classification, regression, clustering, and NLP tasks.
•Fine-tune and adapt pre-trained LLMs and foundation models for specific use cases and datasets.
•Build and manage MLOps infrastructure including model versioning, experiment tracking, and deployment pipelines.
•Work with structured and unstructured data at scale — including text, tabular, and time-series data.

Pay and Benefits

Salary: USD 2,500 - 4,000 monthly

Key Requirements

•Strong Python skills with hands-on experience in core ML libraries (scikit-learn, PyTorch, TensorFlow, or similar).
•Solid data engineering experience — SQL, ETL pipelines, and working with large-scale datasets.
•Practical experience with model training, evaluation, hyperparameter tuning, and deployment.
•Familiarity with LLMs and transformer-based architectures; experience with fine-tuning or prompt engineering in production contexts.
•Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, DVC, or similar).

Experience:Data scienceMachine learningMlopsNLP

Skills:Communication

Tech Stack:PythonSQLPyTorchScikit-learnPandasNumPyMLflowWeights & BiasesDVCSnowflakeBigQueryRedshiftHugging FaceOpenAIAnthropicAWSGCPAzureSlackZoom

Company Brief

Hire Hangar

Industry: Recruitment Agencies

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: New York City, United States

Founded: 2023

Website LinkedIn Glassdoor