Northeastern University's AI Solutions Hub (AISH) is seeking a Senior Data Scientist to lead the development and delivery of AI solutions across diverse industries, focusing on building end-to-end AI pipelines from problem scoping to production deployment and monitoring, with an emphasis on Generative AI and Deep Learning.
Requirements
- Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch, TensorFlow, HuggingFace, and LangChain
- Demonstrated experience with modern AI model architectures including convolutional neural networks, transformers, and diffusion models
- Demonstrated experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability
- Proficient in Python for software and ML pipeline development
- Experience with SQL, NoSQL, and cloud platforms (AWS, Azure, GCP)
- Familiar with distributed data systems (e.g., Apache Spark) and workflow orchestration tools (e.g., Airflow, Prefect)
- Solid background in software development, including Linux, Git, and OOP languages such as Python, Java, or C++
Responsibilities
- lead the development and delivery of AI solutions across diverse industries
- building end-to-end AI pipelines—from business problem scoping to deployment and monitoring of production-grade models
- deep, hands-on expertise in modern AI architectures including convolutional neural networks, transformers, and diffusion models
- significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks
- translating complex business needs into scalable AI solutions
- Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch, TensorFlow, HuggingFace, and LangChain
- Demonstrated experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability
Other
- This is a 1-year fixed term position.
- Ph.D. (strongly preferred) or Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI.
- Minimum of 5 years of industry experience in designing, developing, and deploying AI/ML solutions across sectors, including hands-on model building.
- Demonstrated client-facing experience, including engagement scoping, expectation management, and delivery leadership.
- Excellent interpersonal and communication skills to work directly with clients.
