523 Engineering Manager jobs in Roswell,GA

New, Posted 1 day ago

Senior Associate, Privileged Access Management Delivery Engineer

KPMG

Atlanta, GA 30309

~ 27 min 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 13 hours ago

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Manager, Platform Engineering

Cargill

Suwanee, GA 30024

New, Posted 16 hours ago

Engineer

Woodspring Suites Buford

Buford, GA 30518

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Facilities Maintenance Technician

Kroger

Johns Creek, GA 30024

OnsiteFlexible Schedule

High school diploma or equivalent
35 years proven electrical/mechanical maintenance experience and satisfactory overall performance
Ability to use manufacturer interface software
Must hold and maintain a valid drivers license
Basic knowledge of Microsoft Office
Ability to work a flexible schedule, including nights, weekends, holidays and overtime when necessary
Must be able to perform the essential functions of this position with or without reasonable accommodation

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Electrical Engineer

Zywie

Duluth, GA 30097

Easy Apply

Sales Account Manager (1043)

Fire Safety and Protection

Norcross, GA 30093

~ 33 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time Off

The Sales Account Manager works to develop new and potential accounts within a defined territory of Fire Safety and Protection (FSP).
The Sales Account Manager will provide expert consultation on products and services, ensure excellent customer service, and serve as the primary point of contact for clients, ensuring that all their life safety and security needs are met.
Identify opportunities for upselling and cross-selling life safety and security products and services, such as fire alarms, intrusion detection, CCTV systems, and access control.
Develop and execute account plans to grow the business with key clients.
Achieve or exceed assigned sales targets and KPIs.
Win new clients through new long term service agreements or competitive take overs and retrofits of existing facilities.
Collaborate with the technical team to ensure the solutions provided meet client needs and regulatory requirements.
Provide product demonstrations and technical guidance to clients regarding life safety and security systems.
Oversee the implementation and delivery of life safety and security solutions, coordinating with installation teams and ensuring projects are completed on time and within budget.
Monitor and follow up on the maintenance and service of existing systems.
Keep up to date with industry trends, product innovations, and competitors to provide strategic advice to clients and help shape company offerings.
Prepare regular sales reports, client updates, and forecasts for management.
Stay informed about local, state, and federal regulations related to life safety and security systems (e.g., NFPA, OSHA, UL standards) and ensure solutions comply with these standards.
Applicants who receive a conditional offer of employment must successfully pass a pre-employment drug screen.

SmartExplore AI is experimental.

New, Posted 11 hours ago

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Foreman - Plumbing - Construction - IN Region

GEMCO Constructors

Atlanta, GA 30349

New, Posted 13 hours ago

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Machine Learning Lead Engineer

Cox Automotive

Tucker, GA 30085

~ 32 min OnsitePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
Deep expertise in multiple ML domains and familiarity with emerging research areas
Strong experience in technology evaluation, competitive analysis, and strategic planning
Comfortability with non-deterministic systems
Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
Experience in Rally, Jira or similar tools
Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
Proven track record of leading innovative projects from concept to proof-of-concept
Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
Experience building and leading high-performing research or innovation teams
Excellent communication skills for technical and executive audiences
Strong network within the ML research community
Experience with research collaboration and partnership development
Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
Commitment to continuous learning in AI-augmented data science and responsible AI use.