AI/ML Engineer
Role details
Job location
Tech stack
Job description
Join a dynamic team as a Senior Data Analyst, leveraging your expertise in data science, machine learning, and analytics to drive impactful insights and solutions. You will be responsible for designing and deploying advanced machine learning models, optimizing data pipelines, and communicating complex findings to both technical and non-technical stakeholders. This role offers an exciting opportunity to work on innovative projects, employing cutting-edge AI and data science techniques in a collaborative environment.
Requirements
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Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field
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7+ years of experience in data science, machine learning, and analytics
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Proficiency in Python (Pandas, PySpark), SQL, and data visualization tools such as Power BI and DAX Queries
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Experience with cloud platforms like Azure Databricks and Google Cloud
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Deep understanding of machine learning models, feature engineering, model validation, and performance tuning
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Hands-on expertise with Natural Language Processing (NLP), large language models, and GenAI
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Strong coding background with experience in ML Ops and troubleshooting data pipeline issues
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Knowledge of A/B testing, statistical methods, and experimental design (plus)
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Excellent communication, problem-solving skills, and ability to interpret complex datasets