Machine Learning Engineer (NLP)

Job Title: Machine Learning Engineer

Job Summary:

We are seeking a skilled Machine Learning Engineer to join our growing team. You will be responsible for designing, developing, and deploying scalable machine learning models that solve real-world business problems. The ideal candidate has a strong background in computer science, statistics, and machine learning, as well as experience building and optimizing ML solutions in production environments.

Key Responsibilities:

• Design, develop, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.

• Collaborate with data scientists, software engineers, and product teams to translate business requirements into ML solutions.

• Build robust data pipelines for model training and evaluation using batch or real-time data.

• Deploy and maintain ML models in production using cloud services or containerized environments (e.g., Docker, Kubernetes).

• Monitor model performance and perform regular updates and retraining as necessary.

• Optimize models for performance, scalability, and accuracy.

• Document model development processes and maintain reproducible research practices.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.

• 2+ years of experience in developing machine learning models in a production setting.

• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML).

• Strong understanding of data structures, algorithms, and software engineering principles.

• Familiarity with model evaluation metrics, overfitting/underfitting, and cross-validation techniques.