Machine Learning Developer

We are seeking a Machine Learning Developer with a strong background in computer science, hands-on experience building and deploying ML models, and a solid understanding of modern data and AI tools. The ideal candidate will collaborate with data scientists, engineers, and business teams to design and deliver intelligent, data-driven solutions that create measurable business impact.

• Design, train, and deploy machine learning models for real-world applications.

• Perform data preparation, feature engineering, and model validation.

• Optimize and maintain ML pipelines for performance and scalability.

• Collaborate with cross-functional teams to translate business needs into ML solutions.

• Monitor and continuously improve model performance post-deployment.

• Stay current with emerging technologies and ML frameworks.

• 5+ years of experience in Machine Learning model development and deployment.

• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.

• Experience with data pipelines (Pandas, SQL, Spark, or Airflow).

• Knowledge of cloud platforms (AWS, Azure, or GCP) and ML tools like SageMaker or Vertex AI.

• Familiarity with Docker/Kubernetes and CI/CD best practices.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• AWS Certified Machine Learning – Specialty

• Microsoft Certified: Azure AI Engineer Associate

• Google Professional Machine Learning Engineer
  
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