Designs, develops, deploys, and optimizes machine learning models and AI solutions for enterprise automation, analytics, and decision-making. Analyzes datasets, improves data pipelines, collaborates with cloud and engineering teams, supports AI-driven workflows, contributes to solution design, and documents technical processes. The role requires Python, machine learning frameworks, cloud platform experience, SQL, APIs, and knowledge of MLOps and AI deployment pipelines.
This is a remote position.
The AI Engineer will design, build, and optimize machine learning and AI solutions that support enterprise automation, analytics, and intelligent decision-making. The role requires strong analytical thinking, technical execution, and the ability to work effectively within remote consulting teams.
- Develop and deploy machine learning models and AI solutions
- Analyze datasets and optimize data pipelines
- Collaborate with cloud and engineering teams on AI implementation
- Support automation and AI-driven workflow initiatives
- Participate in solution design and technical discussions
- Document technical processes and project updates
- 4–8 years of experience in AI, Machine Learning, or Data Engineering
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of APIs, SQL, and data processing workflows
- Strong problem-solving and communication skills
- Ability to work in remote, cross-functional teams
- Experience within fintech, banking, or enterprise consulting environments
- Understanding of MLOps and AI deployment pipelines
- Relevant AI or Cloud certifications are an advantage
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Defines and operationalizes technical readiness patterns for external, customer-facing AI systems. Reviews architectures for security, privacy, identity, authorization, runtime, and telemetry standards; partners with governance, security, privacy, product, and engineering teams to close readiness gaps. Extends reusable patterns across MCP, agents, models, and AI APIs, while producing governance evidence, technical documentation, integration guides, and developer portal resources.
Top Skills:
Agent FrameworksCloud-Native Distributed ArchitecturesGenerative AiHealth Data Exchange StandardsIdentity And Access Management (Iam)Large Language Model (Llm) ApisModel Context Protocol (Mcp)OauthOpenid Connect (Oidc)Runtime ObservabilitySoftware Development Kits (Sdks)Telemetry
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, deploy, and monitor production-grade machine learning and deep learning models for healthcare applications. Build scalable data pipelines and automated workflows using Databricks and related platforms, leverage agentic coding tools, and integrate AI services into enterprise applications. Apply responsible AI, governance, security, and monitoring practices while collaborating with software engineers, data architects, and clinical or business stakeholders.
Top Skills:
SparkAPIsCi/CdClaude CodeDatabricksDatabricks GenieDockerHugging FaceKubernetesLlmsNlpOpenai CodexPythonPyTorchRagScikit-LearnTensorFlow
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build full-stack Vision AI products for restaurant operators, including backend APIs, video pipelines, AI model integrations, monitoring, and customer-facing interfaces. Own platform components, contribute to architecture, collaborate across product and engineering teams, and use AI-assisted development tools. The role requires production software experience, cloud infrastructure expertise, event-driven systems knowledge, and comfort working across backend, frontend, data pipelines, and machine learning integrations.
Top Skills:
AWSClaude CodeCursorFfmpegJavaKafkaKotlinLlm ApisPulsarReactTypescriptVision-Language Model Apis
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
