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DakotaMB-Fargo · Remote

Senior Machine Learning Engineer

Remoteseniorfull time$102,249 – $123,138 / yearPosted 10 days ago
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Stack mentioned

statisticsnlptensorflowawsetlsqlhadooplookerpythonjavabashvbamachine-learninganomaly-detectiondata-analysisgenerative-aiartificial-intelligence

Job Summary

We are seeking an energetic and highly skilled Senior Machine Learning Engineer to lead the development and deployment of advanced AI and machine learning solutions. In this pivotal role, you will leverage your expertise in big data systems, statistical modeling, and AI frameworks to drive innovative projects that enhance data-driven decision-making. Your passion for scalable machine learning models, natural language processing, and predictive analytics will empower our teams to deliver cutting-edge solutions across diverse business domains. Join us to shape the future of intelligent systems and make a meaningful impact through innovative AI implementation.

Duties

- Design, develop, and optimize machine learning models utilizing frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex business challenges.

- Lead model training, evaluation, and deployment processes ensuring scalability and robustness across cloud platforms like AWS and machine learning cloud services.

- Implement unsupervised learning techniques for data mining, clustering, anomaly detection, and natural language processing tasks to extract valuable insights from large datasets.

- Collaborate with data engineers to build efficient ETL pipelines, design SQL databases, and manage big data systems including Hadoop and Spark implementations.

- Conduct statistical analysis for research purposes using tools like R, SAS, or statistical analysis software to inform model development and validation.

- Develop scalable data analytics solutions that integrate linked data sources and support real-time decision-making through visualization tools such as Looker.

- Contribute to AI model evaluation, model deployment strategies, and continuous improvement processes ensuring high performance and accuracy of predictive models.

- Engage in cross-functional teamwork to implement generative AI applications and support AI-based analysis initiatives that enhance product offerings.

Experience

- Proven experience in developing machine learning models using Python, Java, or C with a strong understanding of machine learning frameworks such as TensorFlow or similar platforms.

- Extensive background working with big data technologies including Hadoop, Spark (including Spark implementation), Talend, and SQL databases.

- Demonstrated expertise in statistical modeling, statistical analysis tools, and statistical analysis for research applications.

- Hands-on experience with cloud-based AI services on AWS or other cloud providers for scalable model training and deployment.

- Familiarity with natural language processing techniques and generative AI models for advanced language understanding tasks.

- Knowledge of database design principles combined with experience in Data mining, Data analytics, and scalable system architecture.

- Strong programming skills in Python, R, Bash (Unix shell), VBA or Java for automation and data manipulation tasks.

- Ability to communicate complex technical concepts clearly while collaborating effectively across teams to deliver innovative AI solutions.

Join us as a Senior Machine Learning Engineer where your expertise will drive transformative projects at the forefront of artificial intelligence!

Pay: $102,249.10 - $123,138.70 per year

Work Location: Remote