Machine Learning Engineer

*Job Overview* We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking team. In this role, you will be at the forefront of developing, implementing, and optimizing advanced machine learning models and AI solutions. Your expertise will drive data-driven decision-making, enhance predictive analytics, and support scalable AI applications across diverse platforms. This position offers an exciting opportunity to work with cutting-edge technologies in big data systems, cloud services, and natural language processing to shape the future of intelligent solutions. *Duties* * Design, develop, and deploy machine learning models utilizing frameworks such as TensorFlow and other AI tools to solve complex business problems. * Implement scalable data pipelines using ETL processes and big data systems like Hadoop and Spark to prepare data for analysis and model training. * Conduct statistical modeling and analysis to extract insights from large datasets, supporting research and strategic initiatives. * Collaborate with cross-functional teams to integrate AI models into production environments using cloud services such as AWS and machine learning cloud platforms. * Optimize model performance through rigorous evaluation, tuning, and validation techniques including model evaluation metrics and predictive modeling analysis. * Develop natural language processing applications to enhance text analysis capabilities within products or research projects. * Maintain comprehensive documentation of algorithms, processes, and system architecture while ensuring scalability and robustness of deployed models. *Skills* * Proficiency in programming languages such as Python, Java, C, R, and Bash (Unix shell) for data analysis, model development, and automation tasks. * Extensive experience with machine learning frameworks including TensorFlow, Spark implementation, and generative AI techniques. * Strong knowledge of big data technologies like Hadoop, Spark, Talend, and SQL databases for efficient data mining and analytics. * Expertise in statistical analysis tools such as SAS or R for research-driven insights and statistical modeling. * Hands-on experience with AI implementation in cloud environments like AWS or other machine learning cloud services for scalable deployment. * Familiarity with database design principles, SQL query optimization, and data analytics to support complex data workflows. * Understanding of natural language processing (NLP), AI models development, model training strategies, evaluation methods, and deployment best practices. * Knowledge of data integration tools such as Talend for efficient ETL workflows; experience with Looker for data visualization is a plus. * Ability to work on large-scale big data systems involving scalability challenges in real-time analytics environments. Join us to leverage your expertise in machine learning/AI-based analysis to revolutionize how data transforms into actionable insights! Pay: $192,000.00 - $229,000.00 per year Benefits: * 401(k) * Flexible spending account * Parental leave * Relocation assistance Work Location: In person