Research Fellow Artificial IntelligenceMachine Learning

Title: Research Fellow - AI/ML

Executive Area: Academic Affairs

College/School/MBU: College of Information & Computer Sciences

Department: Computer Science

Work Location: Amherst

Schedule:Full Time

Work Arrangement:Onsite

Job Summary

The Center for Data Science and Artificial Intelligence (CDSAI) in the Manning College of Information and Computer Sciences (CICS) is seeking a Research Fellow to join our applied AI and machine learning this role you will design develop and deploy machine learning and AI solutions that support research initiatives across the university and partner institutions. You will work on technical projects from concept to production implement best practices and bridge cutting-edge AI research with practical scalable applications. You will work closely with researchers faculty and external stakeholders to transform complex requirements into robust deployed ML systems.

Essential Functions

Design develop and deploy machine learning and deep learning models for applied research projects.

Manage multiple concurrent projects ensuring timely delivery and alignment with stakeholder needs.

Build and maintain MLOps pipelines for model training evaluation versioning and deployment.

Implement scalable ML infrastructure across cloud platforms (e.g. AWS GCP Azure) and on-premises environments.

Develop APIs and integration layers to embed ML capabilities into applications and research workflows.

Collaborate with researchers and non-technical stakeholders to translate research questions into technical solutions.

Document technical implementations model architectures and research methodologies to ensure reproducibility.

Stay current with emerging AI/ML techniques and evaluate their applicability to Center projects.

Other Functions

Other duties as assigned.

Minimum Qualifications

Bachelors degree or higher in Computer Science Data Science Machine Learning or a related field.

Strong programming expertise in Python with experience in ML frameworks (e.g. PyTorch TensorFlow scikit-learn).

Demonstrated experience deploying ML models to production environments.

Knowledge of MLOps tools and practices (e.g. MLflow Kubeflow DVC Docker CI/CD for ML).

Experience with cloud-based ML services and infrastructure (e.g. AWS SageMaker GCP Vertex AI Azure ML).

Ability to manage multiple projects and guide junior engineers or collaborators.

Excellent written and verbal communication skills for working with technical and non-technical stakeholders.

Demonstrated ability to work independently and solve complex technical challenges.

Preferred Qualifications

Experience with LLMs generative AI and prompt engineering.

Familiarity with NLP computer vision or time-series modeling.

Experience with distributed computing frameworks (e.g. Spark Ray Dask).

Background in data engineering and pipeline orchestration (e.g. Airflow Prefect).

Prior experience in academic or research-focused settings.

Experience mentoring or leading technical teams.

Familiarity with responsible AI practices and model interpretability.

Working Conditions

Work is performed in a standard office or indoor university environment and involves minimal physical exertion.

Work Schedule and Work Arrangement

Typical office hours between 8:00 AM and 5:00 PM.

Salary Information

The salary range is $70000$110000 commensurate with experience and qualifications.

Special Instructions for Applicants

Alongside your application please include CV or résumé detailing your academic and professional background a cover letter describing your relevant experience and research interests and the contact information for three (3) professional references.

This position will remain open for the time period required by any applicable collective bargaining agreement and will continue until a suitable candidate pool is identified. Interested applicants are strongly encouraged to apply early.