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Associate Artificial Intelligence Machine Learning Jobs in Massachusetts

Deloitte

AI Solutions Architect

Boston, MA · On-site

$68.50 - $90.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions ...

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All JobsAssociate Artificial Intelligence Machine Learning JobsAssociate Artificial Intelligence Machine Learning Jobs in Massachusetts

Associate Artificial Intelligence Machine Learning information

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Massachusetts? The most popular types of Artificial Intelligence Machine Learning jobs in Massachusetts are:
What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Massachusetts? For Associate Artificial Intelligence Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
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What cities in Massachusetts are hiring for Associate Artificial Intelligence Machine Learning jobs? Cities in Massachusetts with the most Associate Artificial Intelligence Machine Learning job openings:
Associate Artificial Intelligence Machine Learning jobs near you

Research Fellow - Artificial Intelligence/Machine Learning

UMass Amherst

Amherst, MA • On-site

$70K - $110K/yr

Other

Posted 13 days ago

Job description

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 team. In 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

Bachelor's 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 $70,000-$110,000, commensurate with experience and qualifications.

Special Instructions for Applicants

Alongside your application, please include CV or resume 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.

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