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Ai Ml Project Manager Jobs in Springfield, MA (NOW HIRING)

Network Designs Inc.

AI Integrator

Chicopee, MA · On-site

$167K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

NDi is seeking a Senior AI Integrator to lead the end-to-end lifecycle of AI/ML solutions for Civil ... Set up and manage the full development lifecycle, including test and production environments ...

AXA Group

Principal AI Architect

Hartford, CT · On-site

$141 - $222.20/hr

  • Medical

  • Retirement

... in AI/ML architecture (speaking engagements, publications, open‑source contributions) Desired Skills and Abilities: * Bachelor's degree in Business, Computer Science, Project Management or a ...

Pwc

ERP AI Engineer - Manager

Hartford, CT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

Network Designs Inc.

AI Integrator #1744026

Chicopee, MA · On-site

$167K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

NDi is seeking a Senior AI Integrator to lead the end-to-end lifecycle of AI/ML solutions for Civil ... Set up and manage the full development lifecycle, including test and production environments ...

Network Designs

AI Integrator #1744026

Chicopee, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

NDi is seeking a Senior AI Integrator to lead the end-to-end lifecycle of AI/ML solutions for Civil ... Set up and manage the full development lifecycle, including test and production environments ...

Deloitte

AI Engineer Consultant

Hartford, CT · Hybrid

Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 2+ years of experience ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

As a Senior AI/ML engineer youwill manage and modernize the existing predictive model portfolio while helping the team expand into generative AI, agentic AIandother applied AI capabilities. The role ...

Teradata Corporation (SE)

Senior AI Engineer

Hartford, CT · On-site

$143.50 - $215.20/hr

  • Medical

  • Life

  • Retirement

You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to ...

New

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... projects that shape the future of business. We are committed to fostering a culture of continuous ... management. • Leverage tools like SAS and R/Python to create reusable customizations for non-ML ...

Voya Financial, Inc.

AI Principal Engineer

Windsor, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines. * Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines. * Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Deloitte

Google AI Architect

Hartford, CT · On-site

... managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle. * Security & Governance: Ensure the security of all AI/ML systems by ...

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All JobsAi Ml Project JobsAi Ml Project Manager JobsAi Ml Project Manager Jobs in Springfield, MA

Ai Ml Project Manager information

See Springfield, MA salary details

$38.4K

$102.3K

$161.4K

How much do ai ml project manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai ml project manager in Springfield, MA is $102,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $122,600.00 per year, depending on experience, location, and employer.

What is an AI/ML project manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are some common challenges faced by AI/ML project managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

What is the difference between Ai Ml Project Manager vs Data Scientist?

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

What are the key skills and qualifications needed to thrive as an AI/ML project manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.
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Ai Ml Project Manager jobs near you
Infographic showing various Ai Ml Project Manager job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $102,323 per year, or $49.2 per hour.

AI/ML Engineer

Prophecy Technologies

Hartford, CT • On-site

Full-time

Re-posted 4 days ago

Job description

Role Overview:
We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. This role involves working on Natural Language Processing (NLP) and Generative AI (GenAI) use cases such as classification, summarization, and retrieval-augmented generation (RAG), in partnership with product and engineering teams to deliver scalable, secure, and measurable outcomes.
Key Responsibilities:
  • Design, build, and fine-tune NLP/LLM solutions for business use cases (e.g., classification, summarization, Q&A).
  • Develop efficient, well-documented Python code for training, inference, and evaluation pipelines.
  • Build RAG applications using embeddings, vector databases, and prompt engineering techniques.
  • Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability.
  • Establish model evaluation, monitoring, and governance practices (quality, safety, bias, drift).
  • Collaborate with data engineering and platform teams on data pipelines, deployments, and CI/CD.

Required Skills:
  • 6+ years of overall experience in software development focusing on AI/ML engineering.
  • 2+ years of hands-on experience with deep learning for NLP/GenAI.
  • Strong Python proficiency, including writing production-quality, testable, maintainable code.
  • Experience with deep learning frameworks and libraries: PyTorch or TensorFlow; Hugging Face Transformers.
  • Solid understanding of deep learning architectures and modern NLP/LLM concepts (tokenization, attention/transformers, fine-tuning approaches).
  • Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.

Qualifications:
  • 6+ years of overall experience in software development focusing on AI/ML engineering.
  • 2+ years of hands-on experience with deep learning for NLP/GenAI.
  • Strong Python proficiency.
  • Experience with PyTorch or TensorFlow; Hugging Face Transformers.
  • Solid understanding of deep learning architectures and modern NLP/LLM concepts.
  • Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.

Preferred Skills:
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
  • Experience with vector databases and embedding workflows (e.g., FAISS, Pinecone, Weaviate, Chroma, Azure AI Search).
  • Experience deploying and scaling ML/LLM workloads on cloud platforms (Azure preferred; GCP/AWS acceptable).
  • Familiarity with agentic architectures and multi-agent patterns (e.g., AutoGen or similar).
  • Healthcare domain knowledge and/or experience building solutions in regulated environments.

Standard Technical Skills:
  • MLOps & Deployment: Model packaging and serving, CI/CD, containers (Docker), orchestration (Kubernetes), experiment tracking (MLflow), model registry, monitoring/observability.
  • LLM Evaluation: Offline/online evaluation, prompt/version management, automated testing, hallucination and factuality checks, retrieval evaluation, human-in-the-loop review.
  • Software Engineering: Git, code reviews, unit/integration testing (pytest), REST APIs, basic system design, performance optimization.
  • Security & Compliance: Secure coding, secrets management, PII/PHI handling, access control; familiarity with responsible AI principles is a plus.

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