Data Scientist - AI/ML

3+ years of experience as a Data Scientist with a strong focus on AI and machine learning Expertise in machine learning algorithms, data analysis, and statistical modeling techniques Proficiency in Python, R, or other data science programming languages Experience using libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas Strong knowledge of deep learning, reinforcement learning, or other advanced AI techniques Experience with large-scale data processing and big data technologies (e.g., Spark, Hadoop) Familiarity with cloud infrastructure (AWS, GCP, Azure) Experience deploying machine learning models in production Strong understanding of data wrangling, feature engineering, and building predictive models Experience with version control (Git) and collaborative environments Excellent problem-solving skills and ability to generate actionable insights from data Ability to communicate complex AI/ML concepts effectively

Design, implement, and deploy machine learning models to optimize software build systems Work with large datasets to identify patterns and insights for improving build processes Develop predictive models to optimize build times, cache hit rates, and resource utilization Conduct experiments to improve build system efficiency using AI/ML techniques Collaborate with cross-functional teams to translate business problems into AI/ML solutions Analyze customer usage data for feature improvements Develop custom algorithms for performance monitoring and optimization of CI/CD pipelines Build, test, and validate scalable, robust, and interpretable machine learning models Build and maintain data pipelines for model training, testing, and deployment Communicate findings and insights to technical and non-technical stakeholders