Job Title: Senior Machine Learning Engineer Company Name: Clearhaven Staffing Job Url: https://www.simplyhired.com/job/u42A4r1jILLKT9kafFqAUfFzz7FRkdAqEkugX-u_oIJl57kqTF6Qbg Job Description: Senior Machine Learning Engineer Clearhaven Staffing Remote Job Details Full-time $180,000 - $250,000 a year 8 hours ago Qualifications TensorFlow Looker Data Integration (Data management) Data mining PyTorch SAS Spark R High availability architecture Data reporting Application deployment Scalable systems SAS language Java Bash SQL Database design AWS Spark implementation Outlier detection C Cloud infrastructure implementation Model deployment Natural language processing Data analytics Talend VBA Scalability Model training Quantum engineering Data visualization Clustering Unsupervised learning Machine learning libraries Senior level AI Cross-functional collaboration Machine learning frameworks Cross-functional communication High availability Hadoop Database software proficiency Full Job Description We are seeking an energetic and highly skilled Senior Machine Learning Engineer to lead the development and deployment of innovative AI solutions. In this pivotal role, you will harness your expertise in machine learning frameworks, big data technologies, and cloud platforms to solve complex problems and drive strategic insights. Your passion for data-driven innovation will empower our team to build scalable models, optimize algorithms, and deliver impactful results that shape the future of our products and services. Design, develop, and refine machine learning models using frameworks such as TensorFlow, R, and SAS to address real-world challenges across various domains. Lead end-to-end model training, validation, and deployment processes, ensuring robustness and scalability in cloud environments like AWS. Collaborate with cross-functional teams to extract insights from large datasets through data mining, ETL processes, and database design. Implement natural language processing (NLP) techniques for language understanding tasks and develop models for unstructured data analysis. Optimize big data workflows utilizing Hadoop, Spark, Talend, and Bash scripting to enhance processing efficiency. Develop and maintain scalable data pipelines integrating linked data sources for enriched analytics. Contribute to the development of AI-driven products by deploying models into production environments with a focus on model performance and reliability. Stay current with advancements in quantum engineering applications related to AI and machine learning to incorporate cutting-edge techniques into projects. Support analytics initiatives using Looker and VBA for visualization and reporting purposes. Proven experience in developing machine learning models with frameworks such as TensorFlow, R, or SAS in a professional setting. Strong background in Python programming for AI applications, including model training, natural language processing, and data mining. Hands-on experience with cloud platforms like AWS for deploying scalable machine learning solutions. Extensive knowledge of big data tools including Hadoop, Spark, Talend, and SQL-based database design. Familiarity with Unsupervised learning techniques for clustering and anomaly detection tasks. Proficiency in Java or C for integrating machine learning components into larger software systems. Experience working with analytics tools such as Looker or VBA for data visualization purposes. Ability to work effectively within a team environment while managing multiple projects simultaneously. Strong understanding of model deployment strategies ensuring high availability and performance in production environments. Join us if you’re passionate about leveraging advanced AI techniques to transform data into actionable insights! Your expertise will help shape innovative solutions that make a real difference across industries while working in a dynamic environment that values creativity, collaboration, and continuous learning. Pay: $180,000.00 - $250,000.00 per year Work Location: Remote