Job Overview

We are seeking a dynamic and innovative Machine Learning Engineer to join our cutting-edge data science team. In this role, you will harness the power of advanced machine learning techniques and big data systems to develop, evaluate, and deploy AI models that drive impactful insights and solutions. Your expertise will enable us to leverage natural language processing, predictive modeling, and generative AI to solve complex challenges across diverse domains. This position offers an exciting opportunity to work with state-of-the-art cloud services, scalable architectures, and a variety of statistical analysis tools to push the boundaries of AI implementation.

Duties

• Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools for various applications including natural language processing and predictive analytics
• Implement scalable big data solutions utilizing Hadoop, Spark, Kafka, and ETL processes to manage large datasets efficiently
• Collaborate with cross-functional teams to translate business needs into technical requirements for AI-driven solutions
• Conduct statistical analysis and research using tools like R, SAS, and statistical modeling techniques to improve model accuracy and robustness
• Deploy machine learning models into production environments leveraging cloud services such as AWS and machine learning cloud platforms for real-time inference
• Perform model training, evaluation, tuning, and validation to ensure high performance and scalability of AI models
• Develop data pipelines for data mining, data analytics, and linked data integration to enhance model insights and operational efficiency

Skills

• Proficiency in programming languages including Python, Java, C, Bash (Unix shell), VBA, and SQL for data manipulation and model development
• Extensive experience with machine learning frameworks such as TensorFlow, Spark MLlib, and other AI libraries
• Strong understanding of big data systems like Hadoop, Spark implementation, Talend, and Looker for data processing and visualization
• Knowledge of cloud-based machine learning services on AWS or similar platforms for scalable AI deployment
• Expertise in statistical analysis tools such as R and SAS for research-driven insights and model evaluation
• Familiarity with natural language processing techniques and generative AI models for advanced text analysis applications
• Experience with database design principles for SQL databases as well as linked data concepts for semantic interoperability
• Ability to implement scalable machine learning/AI-based analysis solutions that address complex business problems
• Understanding of model deployment strategies ensuring robustness, security, and efficiency in production environments
• Knowledge of quantum engineering principles is a plus for exploring future innovations in AI technology

Join us in shaping the future of intelligent systems by applying your passion for machine learning innovation!

Pay: $190,000.00 - $320,000.00 per year

Benefits:

• Employee assistance program
• Professional development assistance

Work Location: In person