AI/ML Engineer
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Role details
Tech stack
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Job description
- Analyze large and complex datasets to derive actionable insights and inform business strategies.
- Develop and implement advanced machine learning models and algorithms.
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Communicate findings and recommendations to stakeholders and executive leadership.
- Stay updated with the latest trends and technologies in data science and machine learning.
Requirements
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Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
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Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
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Minimum of 8 years of experience in a data science role.
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Proficiency in programming languages such as Python or R..
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Strong understanding of machine learning techniques and algorithms.
Preferred Qualifications:
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Experience with modern ML frameworks such as PyTorch, TensorFlow
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Experience with big data technologies such as PySpark
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Experience with ML model training within cloud infra such as Azure, AWS, Google Cloud Platform
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Proven track record of successfully deploying and optimizing ML models in a production environment.
Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders
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