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Android Ai Ml Engineer Infrastructure Jobs in Springfield, MA

Prophecy Technologies

AI/ML Engineer

Hartford, CT · On-site

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 ...

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 ... Experience with CI/CD, containers, APIs, infrastructure-as-code concepts, observability, and ...

Network Designs Inc.

AI Integrator

Chicopee, MA · On-site

$167K - $196K/yr

Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

MassMutual

AI Platform Engineer

Springfield, MA

The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience--delivering the foundational capabilities that shape how the entire organization builds and deploys ...

Network Designs Inc.

AI Integrator #1744026

Chicopee, MA · On-site

$167K - $196K/yr

Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

Network Designs

AI Integrator #1744026

Chicopee, MA

Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

MassMutual

AI Platform Engineer

Springfield, MA · On-site

$134K - $176K/yr

The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience--delivering foundational capabilities that shape how the entire organization builds and deploys ...

MassMutual

AI Platform Engineer

Springfield, MA · On-site

$163K - $215K/yr

The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience--delivering foundational capabilities that shape how the entire organization builds and deploys ...

Pwc

ERP AI Engineer - Manager

Hartford, CT

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs ... based infrastructure. * Python programming, with the ability to write clean, well-tested ...

Infosys

AI Engineer

Hartford, CT · On-site

Required : • Strong programming skills in Python • Hands-on experience with AI/ML frameworks ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data ...

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All JobsAndroid Ai Ml Engineer Infrastructure JobsAndroid Ai Ml Engineer Infrastructure Jobs in Springfield, MA

Android Ai Ml Engineer Infrastructure information

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$46.3K

$126.6K

$181.4K

How much do android ai ml engineer infrastructure jobs pay per year?

As of Aug 5, 2026, the average yearly pay for android ai ml engineer infrastructure in Springfield, MA is $126,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $140,500.00 per year, depending on experience, location, and employer.
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Android Ai Ml Engineer Infrastructure jobs near you
Infographic showing various Android Ai Ml Engineer Infrastructure job openings in Springfield, MA as of June 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $126,622 per year, or $60.9 per hour.

AI/ML Engineer

Prophecy Technologies

Hartford, CT • On-site

Full-time

Posted 26 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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