
Machine Learning Specialist
21 hours ago
Job Title:
Machine Learning Engineer
Location:
Remote (Pakistan – US hours overlap)
Type:
Full-Time / Contract
Compensation Contractors:
$3000 – $4000/Per Project/ Per Month
Job Summary:
We are looking for a skilled
Machine Learning Engineer
to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong programming skills, hands-on experience with data science techniques, and the ability to translate business problems into machine learning solutions.
Key Responsibilities:
- Design, build, and deploy machine learning models for real-world applications.
- Preprocess, clean, and analyze large datasets to ensure quality and accuracy.
- Develop and optimize algorithms for classification, regression, clustering, NLP, or computer vision tasks.
- Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems.
- Monitor and maintain deployed models to ensure performance, accuracy, and scalability.
- Research and implement the latest ML/AI frameworks, tools, and best practices.
- Document processes, experiments, and results for reproducibility.
Required Skills & Qualifications:
- Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, or related field.
- Strong programming skills in
Python
(TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas). - Solid understanding of machine learning algorithms, deep learning, and statistics.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of cloud platforms (AWS, GCP, Azure) and ML deployment tools (Docker, Kubernetes, MLflow).
- Familiarity with databases (SQL/NoSQL)
- Strong problem-solving and analytical skills.
Role Expectations:
- Able to handle 2–3 client/project meetings per day
- Must have a camera/mic-ready setup, backup power, and stable internet for remote work
- Should be adaptable to rapidly changing project scopes or client needs
- Available to work during US business hours (PST/EST overlap required)
Interested candidates can apply here or share their resume at with the subject line "Machine Learning Engineer".
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