755 Machine Learning Engineering Manager jobs in Boston,MA

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Mechanical Engineering Manager

SharkNinja

Needham, MA 02492

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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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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

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Engineering Manager

The Newbury Boston

Boston, MA 02116

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Manufacturing Engineer - CNC Machining

Harmonic Drive LLC

Beverly, MA 01915

~ 34 min Onsite

AS Mechanical, Manufacturing, or Industrial Engineering, or equivalent
CAD / CAM experience and familiarity with drawing / design / dimensioning standards.
5+ years of practical experience in Manufacturing Engineering support of CNC machining operations
CNC turning and milling experience; mill/turn experience is a major plus.
MRP or ERP experience desired.
Working knowledge of general machine shop and measuring practices
Visual acuity (corrected) to read directions and prints and to inspect machined parts closely
Manual dexterity sufficient to operate machinery for precision work
Frequently required to sit, stand, move about the shop floor, talk, hear, bend and reach with hands and arms
Physical ability to do work requiring prolonged standing, frequent stooping, bending, squatting, kneeling, bending or twisting and lifting
Occasionally lift and/or move up to 50 pounds
Travel: Occasional travel may be required for this role

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

L3Harris Technologies Careers

Wilmington, MA 01887

Bilingual Preferred

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CNC Machining Manager

Westland Technologies

Stoughton, MA 02072

4 + years of experience managing and motivating a team, fostering collaboration, and resolving conflicts.
College degree in engineering or business required
5+ years' experience in machine shop/manufacturing environmen
To conform to U.S. Government export control regulations and the Naval Nuclear Propulsion Information restrictions, applicant must be a U.S citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorization from the U.S. Department of State or Department of Commerce.
Must be able to lift, push, and pull up to 50 pounds.
Must be able to wear PPE as necessary (safety glasses, hearing protection, steel toe shoes, etc.).

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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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