Machine Learning Engineer
Job Description
Position: Machine Learning Engineer
Location: Remote / Hybrid
Employment Type: Full-time
Responsibilities
Design, train, and deploy machine learning models for production environments.
Build data pipelines for model training, evaluation, and optimization.
Work with large-scale datasets, perform feature engineering, data cleaning, and model tuning.
Develop scalable algorithms for NLP, computer vision, or recommendation systems.
Collaborate with product and engineering teams to integrate ML solutions.
Monitor model performance and ensure reliability, accuracy, and efficiency.
Document ML workflows, research findings, and technical guidelines.
Location: Remote / Hybrid
Employment Type: Full-time
Responsibilities
Design, train, and deploy machine learning models for production environments.
Build data pipelines for model training, evaluation, and optimization.
Work with large-scale datasets, perform feature engineering, data cleaning, and model tuning.
Develop scalable algorithms for NLP, computer vision, or recommendation systems.
Collaborate with product and engineering teams to integrate ML solutions.
Monitor model performance and ensure reliability, accuracy, and efficiency.
Document ML workflows, research findings, and technical guidelines.
Requirements
Requirements
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related discipline.
Strong foundation in machine learning, statistics, and applied mathematics.
Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/K8s).
Knowledge of MLOps best practices is a strong plus.
Excellent problem-solving and analytical skills.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related discipline.
Strong foundation in machine learning, statistics, and applied mathematics.
Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/K8s).
Knowledge of MLOps best practices is a strong plus.
Excellent problem-solving and analytical skills.
Functions
Product Management, Art/Creative
Skills/Subjects
Ability To Work Under Pressure, Big Picture Thinking, Electro-Mechanical Products
Language Requirements
English
Education Degree
Master's Degree
Visa Support
Yes
Only Candidates from this countries can apply:
WorldwideDate Posted: 2026-02-11
Date Modified: 2026-02-11
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