Applied Machine Learning Engineer

What role you will play in team: You will be a key member of the team responsible for applying machine learning techniques to solve real-world problems.

What you will do: Develop, deploy and maintain machine learning models to improve efficiency and decision-making across the organization.

Key responsibility:

• Develop and implement machine learning models using various algorithms.
• Work with large datasets to train and evaluate models.
• Deploy models into production environments.
• Monitor model performance and make necessary adjustments.
• Collaborate with cross-functional teams to integrate models into business processes.
• Contribute to the improvement of our data infrastructure.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
• 1-2 years of experience in applying machine learning to real-world problems.
• Strong programming skills in Python.
• Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud computing platforms (AWS, Azure, GCP).
• Excellent problem-solving and analytical skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development.
• Challenging and rewarding work environment.
• Flexible work arrangements.

A Day in the Life: You will be working on various projects involving data analysis, model development, deployment, and monitoring. You'll be collaborating closely with engineers and product managers.