Benefits:

• Maximized benefits

• Competitive Pay

• Paid Time Off

• Opportunity to work with a global team and clientele

• Opportunity to potentially work in the United States headquarters

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• 3-5 years of hands-on experience in developing and deploying machine learning solutions

Other Requirements:

• Proficiency in Python and extensive experience with popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn

• Demonstrated expertise in data pre-processing, feature engineering, and model evaluation techniques

• Strong familiarity with deep learning frameworks and neural network architectures

• Exceptional programming skills in Python and a proven ability to solve complex problems

• Excellent communication skills and a collaborative mindset, with the ability to work effectively within a team

• Keen attention to detail and the capacity to work autonomously in a fast-paced environment

Responsibilities:

• Lead the development and implementation of machine learning models and algorithms in collaboration with the AI/ML team

• Drive data pre-processing, feature engineering, and model evaluation to ensure the accuracy and efficiency of solutions

• Conduct rigorous experiments, analyze results, and provide actionable insights to enhance model performance and effectiveness

• Optimize model performance with large-scale datasets, employing advanced techniques and methodologies

• Spearhead the integration of AI/ML models into our product ecosystem, seamlessly merging them into product features