Data Scientist – AI/ML

Job Description: • Design, implement, and deploy 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 decisions for improving build processes and remote execution • Develop 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 decisions, 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 within the NativeLink platform • Develop custom algorithms for performance monitoring, anomaly detection, and optimization of CI/CD pipelines • Build, test, and validate machine learning models using a variety of techniques, ensuring they are scalable, 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 clear and actionable way Requirements: • 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, 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-scale data processing, including working with big data technologies (e.g., Spark, Hadoop) • Familiarity with cloud 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 collaborative environments • Excellent problem-solving skills and ability to generate actionable insights from data • Ability to communicate complex AI/ML concepts effectively to both technical and non-technical teams. Benefits: • Competitive salary and benefits package • Opportunities for career growth, professional development, and continuous learning Apply tot his job Apply To this Job