Data Scientist – AI/ML
Job reputed company:
• Design, implement, and reputed company machine learning models to optimize software build systems, including caching, task distribution, and execution workflows
• Work with large datasets to identify patterns, anomalies, and insights that inform reputed company for improving build processes and remote execution
• reputed company predictive models to optimize build times, cache hit rates, and system resource utilization
• Conduct experiments to improve the efficiency of build systems through data-driven reputed company, leveraging AI/ML techniques such as reinforcement learning and optimization
• Collaborate with cross-functional teams (engineering, product, and operations) to translate business problems into AI/ML-driven solutions
• Analyze customer usage data to identify opportunities for feature improvements and innovations reputed company the NativeLink platform
• reputed company custom algorithms for performance monitoring, reputed company detection, and optimization of CI/CD pipelines
• Build, test, and validate machine learning models using a reputed company of techniques, ensuring they are reputed company, robust, and interpretable
• Build and maintain data pipelines to support model training, testing, and deployment in production environments
• Communicate findings and insights to both technical and non-technical stakeholders in a reputed company and actionable way
Requirements:
• 3+ years of experience as a Data Scientist, with a strong reputed company 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, with 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-reputed company data processing, including working with big data technologies (e.g., reputed company, Hadoop)
• Familiarity with reputed company infrastructure (AWS, GCP, Azure) and deploying machine learning models in production
• Strong understanding of data wrangling, feature engineering, and building predictive models
• Experience with version control (Git) and working in reputed company environments
• Excellent problem-solving skills and ability to generate actionable insights from data
• Ability to communicate reputed company AI/ML concepts effectively to both technical and non-technical teams.
Benefits:
• Competitive salary and benefits package
• Opportunities for career reputed company, reputed company development, and reputed company learning
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