Machine Learning (AI) Engineer (Hybrid)

About the Role

This Machine Learning (AI) Engineer (Hybrid) role involves developing and deploying machine learning models that power core product features, collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency.

You will work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions, and solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets.

Key Responsibilities

• Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch frameworks.
• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.
• Implement MLOps practices to streamline model deployment, monitoring, and version control.
• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.
• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.
• Work with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.
• Apply software engineering best practices, including version control (Git) and CI/CD pipelines.

Skills & Qualifications

• Proficiency in Python, TensorFlow, and PyTorch for model development and training.
• Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for deployment and monitoring.
• Strong background in data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.
• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.
• Bachelor's degree in Computer Science, Machine Learning, or related field.
• Strong understanding of machine learning concepts and algorithms.
• Excellent problem-solving skills and attention to detail.

What You'll Learn

In this role, you will gain hands-on experience with machine learning frameworks, MLOps practices, and cloud platforms, and develop a strong understanding of AI-driven product solutions.

You will have the opportunity to work with a global leader in the Software Development industry and contribute to the advancement of AI-driven product solutions.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning frameworks, MLOps tools, and cloud platforms, and provide specific examples of your work in these areas.

Also, be sure to tailor your resume to the specific requirements of the job, and use keywords from the job description to help your application pass through applicant tracking systems (ATS).