In this role, you’ll leverage your knowledge of deep learning frameworks like TensorFlow, Keras, and PyTorch, along with machine learning libraries like scikit-learn, to develop and implement cutting-edge solutions.

Responsibilities:

• Design and develop machine learning and deep learning models using Python libraries such as TensorFlow, Keras, PyTorch, and scikit-learn.
• Preprocess, clean, and analyze large datasets to extract meaningful insights.
• Develop and implement machine learning algorithms to solve complex business problems.
• Integrate machine learning models into production environments for real-world impact.
• Collaborate with data scientists, engineers, and other stakeholders to define project requirements and deliver successful outcomes.
• Write clean, maintainable, and well-documented code that adheres to best practices.
• Continuously evaluate and improve the performance of machine learning models.
• Stay up-to-date on the latest advancements in deep learning, machine learning, and related technologies.

Qualifications:

• 5+ years of experience in software development with a strong focus on Python.
• In-depth knowledge of deep learning frameworks like TensorFlow, Keras, or PyTorch.
• Proficiency in machine learning libraries like scikit-learn for data analysis and algorithm development.
• Experience with data preprocessing, cleaning, and feature engineering techniques.
• Strong understanding of machine learning concepts and algorithms.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• A passion for innovation and a desire to apply machine learning to solve real-world challenges.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on challenging and impactful projects that leverage machine learning.
• Be part of a talented team passionate about pushing the boundaries of machine learning.