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Aiml Engineer

Boston,MA

6117 Aiml Engineer jobs in Boston,MA

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Advanced Systems Engineer - Autonomous Maritime Platforms

General Dynamics Mission Systems

Quincy, MA 02169

$144,066/yr
Hybrid~ 16 minFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or Master’s degree, plus a minimum of 3 years of relevant experience.
  • Department of Defense Secret security clearance is required at time of hire.
  • Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
  • Due to the nature of work performed within our facilities, U.S. citizenship is required.
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New, Posted 1 hour ago
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Manager, AI Engineer

KPMG

Boston, MA 02115

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Master's degree from an accredited college or university preferred
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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Senior AI Agent Engineer

GE Vernova

Cambridge, MA 02140

Paid Relocation to Cambridge, MA

Hybrid~ 10 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
  • 3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
  • 3+ years of experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
  • 3+ years of experience with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.
  • Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
  • Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
  • Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
  • Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
  • Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
  • Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
  • Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
  • Awareness of AI ethics, data privacy, and secure handling of sensitive information.
  • Must be 18 years or older
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening.
  • You must submit your application for employment on the careers page at www.gecareers.com to be considered
  • Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
  • Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
  • Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
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Principal Quant Developer (MLOps)

Fidelity Investments

Boston, MA 02210

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
  • Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
  • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
  • Expert in Python with experience across the development stack (full stack)
  • Exposure to object-oriented programming (OOP) and design patterns
  • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
  • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
  • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
  • Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
  • Proven ability to construct and manage robust data pipelines and event-driven workflows
  • Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
  • Experience in containerization with Docker and orchestration with Kubernetes
  • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
  • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
  • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
  • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
  • Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
  • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
  • Awareness of responsible AI governance practices
  • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
  • Demonstrated knowledge of mathematics, statistics, and quantitative finance
  • Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
  • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
  • Domain knowledge in either equities, fixed income or alternative asset classes
  • Progress towards CFA (or equivalent) a plus
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Senior Software Engineer, Applications

AcuityMD

Boston, MA 02108

RemoteHealth InsurancePaid Time Off

  • 5+ years as Software engineer working on product domain
  • Full stack proficiency working with technologies like TS, React, NodeJs, GQL, Postgres or other relational DBs, BigQuery and other google cloud services, or equivalent technologies
  • You must have an eligible work permit in the USA to be considered for this position.
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New, Posted 18 hours ago
DiversityJobs

AI Systems Administrator

Draper Labs

Cambridge, MA 02139

New, Posted 11 hours ago
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Software Development Manager

CS Experienced

Boston, MA 02115

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's in Computer Science, Electrical/Computer Systems Engineering or a similar math or engineering discipline
  • Demonstrated history of implementing and managing significant software development projects in a CI/CD environment
  • 5-10 years of experience in Software Development as a software engineer
  • 2+ years of experience in Engineering Management
  • Strong expertise with both frontend and backend technologies such as React and Java
  • Proven delivery experience working under an Agile/Scrum methodology
  • Ability to build highly scalable, distributed systems using cloud-native technologies such as AWS
  • Ability to simultaneously support multiple high priority projects in a fast-paced environment
  • Established track record of implementing with urgency and guiding teams to resolve complex technical challenges within tight timelines
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Senior Software Engineer

SAAB

Boston, MA 02241

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Software Engineering, Computer Science or related discipline with 8+ years of relevant experience in advanced software product development, or a Master's degree with 6+ years of similar experience
  • Programming languages including C/C++, Python
  • Scripting languages including Linux/Unix Shells, Matlab, etc.
  • Integrated Development Environments including Eclipse, various GNU, VS Code, Microsoft Visual Studio, Arduino
  • Version control systems including SVN, Git.
  • Issue tracking via Jira, or similar
  • MSOffice including Excel, Word, Visio, PowerPoint, Outlook
  • Experience with agile development methodologies including Scrum
  • Experience with virtual machines
  • Good understanding of industry accepted software design methods and practices, including configuration control, design spaces/tradeoffs, analyses, and requirement specification
  • Software product development background demonstrating a strong engineering aptitude and good problem-solving skills
  • Demonstrated ability to resolve issues during design, development, and execution of software engineering activities
  • Strong written and verbal interpersonal and communication skills
  • Effective contributor in a team environment
  • Ability to work independently to achieve technical and program requirements
  • Must hold or be able to obtain U.S. DoD SECRET security clearance
  • Ability to travel up to 25%, both international and domestic, depending on project needs
  • Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
  • As a condition of employment, candidates will be required to pass a pre-employment drug screen.
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Entry Level Banking Training Opportunity

Year Up United

Boston, MA 02108

$525/wk
Onsite

  • A high school graduate or GED recipient
  • Eligible to work in the U.S.
  • Available Monday-Friday throughout the duration of the program
  • Highly motivated to learn technical and professional skills
  • Have not obtained a Bachelor's degree
  • You may be required to answer additional screening questions when applying
SmartExplore AI is experimental.
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New, Posted 3 hours ago
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Classroom Assistant - Hiring Now

Zen Educate

Winchester, MA 01890

$21-$24/hr
~ 21 min OnsiteHealth InsuranceRetirement Benefit

  • High school diploma obtained in the United States
  • 6+ months experience supporting people with special needs (in any capacity), ideally child-focused experience
  • Applicants must have professional proficiency in English
  • US Work Authorization - Zen Educate cannot provide sponsorship for an employment visa or relocation assistance at this time
  • Comfortable being on your feet and moving around the classroom throughout the day
  • Able to lift up to 20 lbs and safely assist students when needed (kneeling, bending, quick response)
  • Additional physical requirements may be requested during your application process
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New, Posted just now
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Boston Unique Indoor Comfort - HVAC Service Technician

Unique Indoor Comfort Boston

East Boston, MA 02128

$35-$55/hr
$5,000 bonus
~ 9 min OnsiteChildcare AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Min 3 years Residential HVAC experience
  • EPA Universal Certification
  • A valid driver's license with at least 3 years of US driving experience is required for this role
  • High school diploma or GED
  • This position is not eligible for employment visa sponsorship now or in the future.
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  1. Boston,MA Jobs
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  3. Aiml Engineer Jobs

What companies are hiring Aiml Engineer jobs in Boston,MA?

  1. General Dynamics Mission Systems
  2. KPMG
  3. GE Vernova
  4. Fidelity Investments
  5. AcuityMD
  6. Draper Labs
  7. CS Experienced
  8. SAAB
  9. Year Up United
  10. Zen Educate
  11. Unique Indoor Comfort Boston

What is the hourly salary range for Aiml Engineer jobs in Boston,MA?

The hourly salary range is $21 - $55.

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