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Python Ai Ml Jobs in Massachusetts (NOW HIRING)

Analogdevices

AI/ML Engineer Intern

Wilmington, MA

$22 - $41/hr

About the Role The AI/ML Engineer Intern role provides students with the opportunity to apply ... Proficiency in Python programming. * Familiarity with machine learning frameworks such as PyTorch ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

$140K - $225K/yr

Strong proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn) * Experience ... You have rich AI/ML experience and are looking to pivot into biotech If you're excited to build ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed ... or translating ML approaches to production systems • Proficiency with version control (Git ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed ... or translating ML approaches to production systems • Proficiency with version control (Git ...

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Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What are popular job titles related to Python Ai Ml jobs in Massachusetts?

For Python Ai Ml jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Python Ai Ml jobs in Massachusetts look for?

The top searched job categories for Python Ai Ml jobs in Massachusetts are:

What cities in Massachusetts are hiring for Python Ai Ml jobs?

Cities in Massachusetts with the most Python Ai Ml job openings:

Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Massachusetts as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Azure DevOps / AI-ML Platform Engineer

SoftPath Technologies LLC

Woburn, MA • On-site

$46/hr

Other

Posted 15 days ago

Job description

🏢 Client: Northern Bank & Trust Company
📍 Location: 303 Main Street, Woburn, MA 01801
🏢 Work Mode: Onsite
⏳ Duration: 6 Months
💰 Rate: $46/hr
🎯 Interview: Not Mentioned

🔹 Role Overview

We are looking for an experienced Azure DevOps / SRE professional who can bridge IT infrastructure management and Azure DevOps engineering to support AI/ML workloads and enterprise IT services.

The role focuses on secure, scalable, compliant delivery of applications, data pipelines, and machine learning models across Azure environments.

🔹 Key Responsibilities

• Design and maintain Azure DevOps YAML CI/CD pipelines for AI/ML model build, testing, security scanning, and releases
• Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates
• Manage artifact repositories and container image signing
• Administer Azure environments, including AKS clusters and GPU-enabled pools
• Standardize environments for business applications and Azure Machine Learning workspaces
• Implement cloud governance, security controls, and compliance guardrails
• Partner with data science teams to deploy ML models efficiently
• Support reliability, scalability, and performance of enterprise systems

🔹 Required Skills

✅ 5+ years of DevOps/SRE experience
✅ 3+ years of hands-on Azure experience
✅ Azure DevOps — Repos, Pipelines & Artifacts
✅ GitHub Actions & YAML-based CI/CD
✅ Terraform or Bicep/ARM
✅ AKS & Azure Container Registry (ACR)
✅ PowerShell and/or Python
✅ Docker & Helm
✅ Azure Machine Learning — workspaces, endpoints, registries
✅ RBAC, Key Vault, Managed Identity & Azure Policy
✅ VNet, subnets, Private Link & cloud networking
✅ AI/ML deployment workflows and CI/CD integration

🔹 Preferred Qualifications

• GPU workloads on AKS or Azure ML
• Model serving with Azure ML Managed Online Endpoints or Kubernetes Inference
• Databricks, Microsoft Fabric, or related data platforms
• Azure DevOps Engineer Expert / Azure Solutions Architect certification

🔹 Core Technologies

☁️ Azure: AKS, Functions, Storage, Key Vault, Monitor, Log Analytics, API Management, Event Hub, Service Bus
⚙️ DevOps: Azure DevOps, GitHub, ACR, Helm, Docker, Terraform, Bicep/ARM
🔐 Security: Azure Policy, RBAC, Managed Identity, Defender for Cloud
📊 Observability: Application Insights, Azure Monitor, Grafana, Prometheus
💻 Languages: YAML, PowerShell, Python, Bash

🔹 First 90-Day Deliverables

📌 CI/CD templates for AI services
📌 IaC-based AKS/AML environments with security guardrails
📌 Unified observability dashboards, alerts & SLOs
📌 Incident response and change-management playbooks
📌 Automation opportunity backlog

🌟 Ideal Candidate: A strong communicator who thrives on automation, reliability, documentation, cloud security, and working in regulated environments.

📩 Interested candidates? Send your updated resume and contact details via DM.

Apply