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.
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.
Benefits : Skills :
Ability To Work Under Pressure, Big Picture Thinking, Electro-Mechanical Products
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