Machine Learning Engineer

**Job Summary** As a Machine Learning Engineer, you’ll turn data into practical machine learning and artificial intelligence (AI) solutions. You’ll build, evaluate, and deploy models, partnering with research and analytics teams to solve real-world problems. Your impact: Reliable, scalable models help teams make better-informed decisions and deliver useful outcomes to the people they serve. **Responsibilities** * Prepare data through extraction, transformation, and loading (ETL), data mining, and database design across SQL databases and big data systems. * Develop and train AI models using machine learning frameworks such as TensorFlow, with methods including unsupervised learning, predictive modeling, and natural language processing. * Evaluate models through statistical modeling, statistical analysis, and research-focused analysis; communicate findings using analytics and data analytics tools. * Deploy and scale models using AWS and other machine learning cloud services; contribute to Spark implementation and Hadoop-based workflows. * Support AI implementation, machine learning/AI-based analysis, and generative AI projects; explore linked data and quantum engineering applications as relevant. **Skills** * **Core:** Machine learning, model training, model evaluation, AI models, scalability, and strong Python and SQL skills. * **Platforms and tools:** AWS, TensorFlow, Spark, Hadoop, Talend, Looker, statistical analysis tools, and machine learning frameworks. * **Additional languages and systems:** Java, C, R, SAS, VBA, Bash (Unix shell), big data, and SQL databases. * **Methods:** Statistical analysis, statistical modeling, predictive modeling analysis, unsupervised learning, data mining, ETL, and database design. * **Preferred:** Experience with machine learning cloud services, natural language processing, linked data, generative AI, AI implementation, statistical analysis for research, and quantum engineering. **Apply Here- https://tasklyanything.ai/careers/machine-learning-engineer** Pay: $109,000.00 - $133,000.00 per year Benefits: * Flexible schedule Work Location: Remote