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Entry Level Artificial Intelligence Engineer Jobs in Springfield, MA

Amwins

Analytics & AI Intern

Windsor, CT · On-site

$22/hr

... Artificial Intelligence, Engineering, or a related field. · Students expecting to graduate in January or May of 2027 will be preferred. · Some experience with AI tools or concepts -- whether ...

Amwins

Analytics & AI Intern

Windsor, CT · On-site

$22/hr

... Artificial Intelligence, Engineering, or a related field. • Students expecting to graduate in January or May of 2027 will be preferred. • Some experience with AI tools or concepts - whether ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... Artificial Intelligence - ALL Technical Skills 2 Technology|AI Hyperscalers|Azure Agentic AI ... Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

... and artificial intelligence solutions across a wide range of strategic initiatives. As a Data Engineer, you will participate in the entire software development lifecycle process in support of ...

MANTECH

Senior GEOINT Data Scientist

Springfield, MA

... Artificial Intelligence and Machine Learning (AI/ML) * Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model ...

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Entry Level Artificial Intelligence Engineer information

See Springfield, MA salary details

$29.9K

$69.1K

$117.6K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level artificial intelligence engineer in Springfield, MA is $69,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $78,200.00 per year, depending on experience, location, and employer.

How can I become an AI engineer with no experience?

To become an entry-level AI engineer with no experience, focus on building foundational skills in programming languages like Python, learn machine learning concepts, and complete online courses or certifications. Gaining hands-on experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects in this field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include stock options or bonuses that contribute to the total compensation. Entry-level AI engineers generally do not earn this level of salary, which is more common among senior professionals or those in leadership positions.

What kind of projects or tasks do Entry Level Artificial Intelligence Engineers typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive in the Entry Level Artificial Intelligence Engineer position, and why are they important?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

How to get a job in artificial intelligence with no experience?

Entry-level artificial intelligence engineer roles often require foundational skills in programming, mathematics, and machine learning. Gaining experience through online courses, personal projects, internships, or certifications in tools like Python, TensorFlow, or PyTorch can improve your chances of securing such a position without prior work experience.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning technician, and junior AI engineer. These positions typically require foundational knowledge of programming languages like Python, basic understanding of machine learning frameworks, and often an internship or certification in AI or data science. They provide opportunities to gain practical experience and develop skills in AI development and deployment.

What is an Entry Level Artificial Intelligence Engineer job?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Springfield, MA? The most popular types of Artificial Intelligence Engineer jobs in Springfield, MA are:
What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Springfield, MA? For Entry Level Artificial Intelligence Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Springfield, MA look for? The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities near Springfield, MA with the most Entry Level Artificial Intelligence Engineer job openings:
Entry Level Artificial Intelligence Engineer jobs near you

Research Fellow - Artificial Intelligence/Machine Learning

UMass Amherst

Amherst, MA • On-site

$70K - $110K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Apply