Job Summary

We are seeking a dynamic and motivated Jr. AI Engineer to join our innovative data science and machine learning team. In this role, you will contribute to the development, training, and deployment of cutting-edge AI models that solve complex problems across various domains. Your work will directly impact our ability to leverage big data, natural language processing, and generative AI technologies to deliver scalable solutions. This position offers an exciting opportunity to grow your expertise in machine learning frameworks, cloud services, and data engineering within a collaborative environment committed to technological excellence.

Duties

• Assist in designing and implementing AI and machine learning models using frameworks such as TensorFlow and PyTorch.
• Support model training, evaluation, and optimization processes to ensure high performance and accuracy.
• Collaborate with data engineers to develop ETL pipelines for large-scale data ingestion and preprocessing using tools like Talend, Hadoop, Spark, and Bash scripts.
• Contribute to database design and management of SQL databases, ensuring efficient data retrieval for analytics and research purposes.
• Implement natural language processing techniques for text analysis and develop generative AI applications for diverse use cases.
• Utilize cloud-based machine learning services on platforms like AWS to deploy scalable AI models in production environments.
• Conduct statistical analysis for research projects, applying statistical modeling tools such as R or SAS to derive insights from complex datasets.
• Participate in model evaluation and deployment activities, ensuring robust performance and scalability across different systems.
• Engage in big data mining efforts using Hadoop, Spark implementation, and data visualization tools like Looker to support analytics initiatives.
• Support continuous improvement of AI models through iterative testing, model evaluation metrics, and feedback loops.

Skills

• Proficiency in programming languages including Python, Java, C, VBA, and Bash (Unix shell).
• Hands-on experience with machine learning frameworks such as TensorFlow, Spark MLlib, or similar platforms.
• Knowledge of AWS cloud services for machine learning deployment and scalability solutions.
• Strong understanding of unsupervised learning techniques and statistical modeling methods.
• Experience with SQL databases, data mining tools like Talend, Hadoop ecosystem components, and ETL processes.
• Familiarity with natural language processing (NLP), generative AI models, and AI implementation strategies.
• Ability to perform statistical analysis for research using R or SAS software packages.
• Understanding of database design principles and linked data concepts for semantic web applications.
• Exposure to big data analytics tools such as Looker for visualization purposes.
• Knowledge of model training workflows including feature engineering, model evaluation metrics, and deployment strategies.
• Awareness of quantum engineering principles is a plus but not required; a passion for emerging technologies is encouraged.

Join us as a Jr. AI Engineer where your enthusiasm for innovation meets your technical expertise! Be part of a forward-thinking team dedicated to transforming raw data into actionable insights through advanced AI solutions—fueling the future of intelligent technology!

Pay: $80,000.00 - $90,000.00 per year

Work Location: In person