Senior Applied Machine Learning Engineer

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Requirements:

• 5+ years of experience in data science, with a strong focus on machine learning and applied AI.
• Proficient in programming languages such as Python and R.
• Experienced with data science libraries like Pandas, NumPy, and scikit-learn.
• Hands-on experience with generative AI models (e.g., transformers, GANs).
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Strong skills in SQL and experience with large-scale databases.
• Solid understanding of statistical methods and their applications.
• Experience deploying and optimizing machine learning models in production environments.
• Excellent verbal and written communication skills.
• Proven ability to work effectively in a team environment with empathy and collaboration.
• Demonstrated self-motivation and ability to drive projects independently.
• Ability to navigate ambiguous situations and develop innovative solutions.
• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.

Responsibilities:

• Analyze large and complex datasets to extract meaningful insights that drive product decisions.
• Design, develop, and implement machine learning models, including generative AI models.
• Work closely with product managers, engineers, and designers to integrate solutions into consumer-facing products.
• Continuously refine models for improved performance, scalability, and cost-effectiveness.
• Create clear and compelling visualizations to communicate findings to stakeholders.
• Keep abreast of developments in AI and data science.
• Take responsibility for the quality and timely delivery of data projects.