Machine Learning Engineer at Cornerstone TTS

Job Description

We are looking for a talented Machine Learning Engineer to design, develop, and deploy machine learning models that drive innovation and deliver measurable results. The ideal candidate will have a strong foundation in machine learning algorithms, software engineering, and data analysis, with a passion for solving real-world challenges.

Key Responsibilities

• Design, build, and deploy machine learning models for various applications.
• Preprocess and analyze large, complex data sets to extract meaningful insights.
• Implement and optimize machine learning algorithms to improve performance and accuracy.
• Collaborate with cross-functional teams to integrate ML models into production systems.
• Monitor, maintain, and continuously improve deployed models.
• Research and stay up-to-date on the latest trends and advancements in AI/ML technologies.
• Develop and maintain documentation for workflows, models, and processes.

Qualifications

Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field.
• Strong programming skills in Python, R, or similar languages.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with data preprocessing techniques and tools (e.g., Pandas, NumPy).
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Understanding of version control systems like Git.

Preferred:

• Experience deploying machine learning models in production environments.
• Knowledge of big data technologies (e.g., Spark, Hadoop).
• Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow).
• Experience with natural language processing (NLP) or computer vision techniques.
• Strong analytical and problem-solving skills.