Machine Learning Engineer
Machine Learning Engineer
Posted on :
14-06-2025
Employer Active
1 Vacancy
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Job Description
W2 Only
VISA : USCL2EADH4EAD
This position is only for W2 Candidates
Job Summary:
We are seeking a highly motivated Machine Learning Engineer to join our team. You will be responsible for developing deploying and optimizing machine learning models that help solve real-world problems. You will collaborate closely with data scientists engineers and product teams to turn data into actionable insights and intelligent systems.
Key Responsibilities:
- Design build and deploy scalable machine learning models for classification regression recommendation NLP or computer vision tasks.
- Collaborate with data scientists and software engineers to integrate models into production environments.
- Optimize model performance using techniques like hyperparameter tuning feature engineering and data augmentation.
- Evaluate and monitor deployed models to ensure long-term accuracy and relevance.
- Stay current with the latest research and industry trends in machine learning and AI.
- Develop data pipelines and tools for training and validating machine learning models.
- Write clean maintainable and well-documented code.
Required Qualifications:
- Bachelors or Masters degree in Computer Science Mathematics Statistics or a related field.
- Strong proficiency in Python and ML libraries such as scikit-learn TensorFlow PyTorch or XGBoost.
- Experience working with large datasets and data processing tools (e.g. Pandas NumPy SQL Spark).
- Solid understanding of machine learning algorithms and statistical modeling techniques.
- Experience with version control (e.g. Git) and software development best practices.
Preferred Qualifications:
- Experience deploying ML models using AWS Azure or GCP.
- Familiarity with MLOps practices and tools like MLflow Kubeflow or Airflow.
- Knowledge of deep learning architectures (CNNs RNNs Transformers).
- Exposure to DevOps CI/CD pipelines and containerization (Docker Kubernetes).
- Publications or contributions to open-source ML projects.
Benefits:
- Competitive salary and performance bonuses
- Flexible work schedule and remote options
- Health dental and vision insurance
- Professional development budget and learning opportunities
- Friendly and innovative team environment
Employment Type
Full Time
Key Skills
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