787 Machine Learning Engineer Manager jobs in Boston,MA

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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

New, Posted 18 hours ago

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CNC Machinist

Adecco

Nashua, NH 03060

$32/hr

~ 52 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED required
2+ years of experience as a CNC milling or CNC lathe machinist preferred
Experience with machine setup and basic programming required
Experience with Haas machines preferred
Candidates coming from precision manufacturing programs (such as NCC) encouraged to apply
Working knowledge of CNC machining in a prototype or manufacturing environment
Familiarity with CAD/CAM software including Mastercam and SolidWorks
Ability to read blueprints and interpret geometric tolerances

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Director, Systems Engineering - Agile EO (Electro-Optical) Chief Engineer : Sign-on bonus ($50K max)

L3Harris Technologies

Wilmington, MA 01887

Bilingual Preferred

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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
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
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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Engineering Manager

The Newbury Boston

Boston, MA 02116

New, Posted 3 hours ago

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Principal Program Protection Engineer (Embedded Software Engineer)

Raytheon

Tewksbury, MA 01876

Flexible Schedule

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Entry level Machine Operator

Adecco

Nashua, NH 03060

$21.85/hr

~ 52 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED preferred
Must be able to stand and walk for the duration of the shift
Ability to lift up to 50 pounds as needed
Ability to bend, reach, and perform repetitive motions
Ability to work in a manufacturing environment
Comfortable using computers and navigating production systems
Strong attention to detail and ability to follow written instructions
Ability to work in a fast-paced environment
Strong work ethic and dependable attendance
Previous manufacturing, warehouse, assembly, production, or other hands-on work experience preferred
Training will be completed on 1st or 2nd shift prior to moving to assigned schedule

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Senior Associate, Privileged Access Management Delivery Engineer

KPMG

Boston, MA 02115

OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent professional experience in Identity & Access Management, Privileged Access Management, or cybersecurity
Bachelor's degree from an accredited college or university
Hands on experience with Privileged Access Management delivery and engineering, with specific experience using CyberArk On-Prem and SaaS solutions
Familiarity with infrastructure administration (such as Windows, Linux, Databases), networking basics, and IT architecture principles
Experience supporting PAM integrations within cloud platforms such as Azure, AWS, or GCP
Proficiency with scripting, automation integrations, infrastructure-as-code, and configuration management
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
Ability to travel as required

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New, Posted 3 hours ago

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