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data engineer

distinguished engineer material handling systems

The Home Depot

<div>Position Purpose:
Distinguished Engineers are recognized as experts in one or more domains within the organization and across the industry, serving as senior technical authorities with a strong track record of influencing, mentoring, and growing other technical leaders. They connect teams through collaboration and champion opportunities to improve efficiency, reliability, and technical excellence across the enterprise.
The Distinguished Engineer &ndash; Conveyor Controls serves as the highest-level technical authority for conveyor control system support across the organization. This role provides strategic technical leadership across the architecture, design, reliability, and lifecycle management of conveyor control systems, ensuring operational excellence, system availability, and safe, efficient material handling operations. The position leads advanced troubleshooting, reliability improvement initiatives, and maintenance support strategies to support long-term platform stability.
In partnership with engineering, maintenance, operations, IT/OT teams, senior leaders, vendors, and partners, this role helps shape the go-forward technology direction for conveyor control platforms by driving standardization, innovation, continuous improvement, and the adoption of new technologies across the enterprise. 
Key Responsibilities:<ul><li>
30% Strategy &amp; Planning:</li><li>
Works with senior leaders to shape the go-forward vision for the organization from a specific domain perspective</li><li>
Works with vendors and partners on the successful strategy, planning, and implementation of critical tooling and platforms</li><li>
Participates in and influences development of technology roadmaps across the enterprise</li><li>
Evaluates new technologies for adoption across the enterprise</li><li>
Drives thought leadership and innovation within the organization</li><li>
30% Support &amp; Enablement:</li><li>
Fields questions from product, project and support teams</li><li>
Evangelizes successful usage of tooling and technologies with teams</li><li>
Monitors tools and leads conversations to encourage collaboration across product teams</li><li>
Learns, through reading, tutorials, relationships, and videos, new technologies and best practices being used in other organizations</li><li>
25% Delivery &amp; Execution:</li><li>
Teaches, mentors, grows, and advises other domain experts in the organization (including direct reports, if applicable)</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Works with vendors and partners on the successful planning and implementation of critical tooling and platforms</li><li>
Understands and articulates the value creation and business proposition to teams and functional partners</li><li>
Participates in and leads review board sessions to drive consistency across the enterprise</li><li>
15% People:</li><li>
Acts as a point of escalation for teams facing extremely complex challenges</li><li>
Participates in and leads learning activities within the organization</li><li>
Connects teams facing similar challenges and problems to encourage consistency</li><li>
Presents at and attends conferences and learns how to apply new technologies and concepts</li><li>
Capable of jumping into a variety of teams to resolve issues</li><li>
Provides leadership, mentoring, and coaching to direct reports (if applicable)</li><li>
Conducts annual and mid-year reviews, reviewing individual development plans and providing performance feedback (if applicable)</li><li>
Attracts, retains, develops, and motivates top talent (applicable if incumbent has direct reports)</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This role typically reports to Sr. Director or Vice President and may have a small number of non-manager direct reports with VP approval.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel up to 50% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Must be legally permitted to work in the United States</li></ul> 
Preferred Qualifications:<ul><li>
8-10 years of relevant work experience</li><li>
Professionally recognized by peers and leaders in the organization for significant expertise within a specific domain</li><li>
Mastery of problem solving, innovation, vision, judgement, and leadership within a specific domain</li><li>
Track record of noteworthy innovation and execution that shaped the direction of an organization and/or the industry within a specific domain</li><li>
Track record of teaching, mentoring, growing and advising other domain experts inside and outside of the organization</li><li>
Capable of understanding complicated systems quickly</li><li>
Active participation in or leadership of professional groups affiliated with a specific domain</li><li>
Mastery in assigned domain</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs (applicable if incumbent has direct reports)</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals (applicable if incumbent has direct reports)</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Courage: Stepping up to address difficult issues, saying what needs to be said</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Decision Quality: Making good and timely decisions that keep the organization moving forward</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals (applicable if incumbent has direct reports)</li><li>
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives (applicable if incumbent has direct reports)</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Global Perspective: Taking a broad view when approaching issues; using a global lens</li><li>
Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li><li>
Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications</li></ul></div>

Distinguished Engineer, Material Handling Systems

G&W Equipment

<div>Position Summary

A Field Service Technician for our Atlanta, GA branch provides service and repair for forklifts and material handling equipment at customer facilities. This role requires strong diagnostic and troubleshooting skills, the ability to work independently in the field, and a commitment to delivering safe, reliable repairs that keep customer operations running smoothly. 


Key Responsibilities
<ul>
<li>Diagnose and repair forklifts and material handling equipment (electric, LPG, diesel, and gas)</li>
<li>Perform planned maintenance, safety inspections, and emergency repairs</li>
<li>Troubleshoot mechanical, electrical, hydraulic, and electronic systems</li>
<li>Communicate clearly with customers regarding repairs, recommendations, and equipment status</li>
<li>Complete service reports and documentation accurately and on time</li>
<li>Maintain service vehicle, tools, and inventory in a professional manner</li>
<li>Follow all safety policies and procedures</li></ul> 


Qualifications
<ul>
<li>2+ years of experience repairing forklifts or heavy equipment preferred</li>
<li>Experience working with multiple brands of forklifts preferred</li>
<li>Strong mechanical, electrical, and hydraulic troubleshooting skills</li>
<li>Ability to work independently with minimal supervision</li>
<li>Valid driver&rsquo;s license and clean driving record</li>
<li>Good communication and customer service skills</li>
<li>Ability to lift up to 50 lbs and work in varying environments</li></ul> 


What We Offer
<ul>
<li>Competitive pay based on experience</li>
<li>Company-provided service vehicle and tools</li>
<li>Paid training and certification opportunities</li>
<li>Medical, dental, and vision insurance</li>
<li>401(k) with company match</li>
<li>Paid time off and holidays</li>
<li>Opportunities for advancement within a growing company</li></ul></div>

Field Service Technician

<div>Position Purpose:
The Lab Technician plays a crucial role in the Global Brand &amp; Product Development team, requiring meticulous attention to detail, strong technical skills, and effective communication. Collaborating with Product Engineering, Product Development, and Quality teams, they contribute to project goals, providing essential support for new product development, and production performance. Responsibilities encompass constructing test rigs, executing testing, and reviewing results. 
Key Responsibilities:<ul><li>
70% Test Execution - Execute product testing following protocols in accordance with applicable test standards. This will include, but not be limited to, tests for: functional safety, mechanical operation, environmental conditions, reliability, performance, failure modes, and usability. Set up test rigs and document test procedures based on both internal and industry standards. Ensure test design follows lab Standard Operating Procedures (SOP) as applicable and that all activities are completed on time.</li><li>
10% Data Evaluation - Document test data clearly and accurately, following Standard Operating Procedures. Evaluate test failures, determine root causes, and recommend appropriate corrective actions. Work with Test Engineer and/or Test Supervisor to determine any additional testing needed.</li><li>
10% Project Planning - Participate on project teams and work directly with Product Engineers and Test Engineer to understand product and determine applicable testing. Offer input on suitable test rigs, recommend modifications to improve testing plans' effectiveness, and contribute to discussions on test methods, techniques, and tools.</li><li>
5% Automation - Basic skills in developing code for PLC, PID and or Raspberry pi.</li><li>
5% Maintenance - Participate in 5S organization in the lab and ensure work area(s) meet 5S standards.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position reports to Lab Manager</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% of the time.</li></ul> 
Physical Requirements:<ul><li>
Requires intermittent periods during which continuous physical exertion is required, such as walking, standing, stooping, climbing, and lifting material or equipment, some of which may be heavy or awkward.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Working knowledge of Microsoft Office Suite</li><li>
Excellent written and verbal communication skills</li><li>
Proven experience in a testing or laboratory environment.</li><li>
Familiarity with 5S principles and continuous improvement methodologies.</li><li>
Strong attention to detail and accuracy in data recording.</li><li>
Ability to follow SOPs and WIs precisely.</li><li>
Excellent organizational and time-management skills.</li><li>
Possess excellent written, listening, and verbal communication skills</li><li>
Experience handling multiple concurrent project assignments</li><li>
Proficient with Microsoft Excel, Word, PowerPoint, and Outlook</li><li>
Experience designing and building test rigs and fixtures</li><li>
Proficient in the use of hand and measurement tools such as hammers, screwdrivers, drills, bandsaws, calipers, micrometers, and scales</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
Technical certification in a related field is a plus.</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Decision Quality</li><li>
Tech Savvy</li><li>
Collaborates</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div>

Engineering Tech

Safe-Guard Products International, LLC

<div><div>Job Posting Title: Information Security Engineer</div><div></div><div> 
Job Description</div>
Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. 
Job Title: Information Security Engineer
Location: US-GA-Atlanta (Sandy Springs Hybrid)
FLSA: Exempt 
Safe-Guard Products provides products and solutions to the motor vehicle industry that drive customer retention and protect consumers from the perils of vehicle ownership. We believe in innovation, collaboration and diversity and inclusion. Safe-Guard offers Competitive Benefits and career path.<div></div><div> 
Position Overview:</div><div>
Security Operations is a team that is responsible for incident detection and response (IR), vulnerability management (VM), Data Protection (DP) and security engineering activities. The Security Operations Engineer will be able to handle IR alerts and escalations from multiple sources and is responsible for implementing, maintaining, monitoring and managing security technologies to support SIEM, Endpoint Detection &amp; Response (EDR), Vulnerability Management, Data Protection and others. The engineer delivers these solutions and services in accordance with the organization&rsquo;s architectural designs, best practices, and regulatory or compliance requirements. As risks change, the security engineer is responsible for recommending modifications and enhancements to ensure the organization is evolving with the threat landscape.</div><div>
The engineer reports on findings and provides recommendations for corrective action. Performs vulnerability assessments as assigned utilizing IT security tools and methodologies. Performs assessments of the IT security/risk posture within the IT software and applications. 
 Provides weekly project status reports, including accomplishments and outstanding issues.</div><div></div><div> 
Essential Functions:</div><div><ul><li>
Assist with incident response and system stability issues as they occur. This may include involvement outside of regular work hours, and responsiveness is expected.</li><li>
Leverage approved AI technologies to optimize results in Security Operations.</li><li>
Implement, manage and maintain event and log collection, reporting and compliance requirements.</li><li>
Design and build SIEM dashboards and reporting tools required by technical teams. Help correlate events to support SOC response requirements.</li><li>
Maintain up-to-date level of knowledge related to security threats, vulnerabilities and mitigations set forth to reduce attack surface.</li><li>
Tune the SIEM with threat intelligence sources (e.g., premium, industry-shared, open-source and dark web), and correlate event indicators and threats.</li><li>
Support SOC automation initiatives leveraging playbooks, while also using human analysis as needed.</li><li>
Actively participate in threat hunting tabletop exercises to hone and strengthen skills across the team.</li><li>
Ensure security and technology teams maintain up-to-date configuration documentation for systems and processes.</li><li>
Monitor for vulnerabilities within applications, endpoints, databases, networking, and mobile and cloud services.</li><li>
Collaborate with IT operations to manage internal- and external-facing systems to identify, track and remediate system and application vulnerabilities.</li><li>
Support IT operations&rsquo; responsibility to remediate system and application vulnerabilities.</li><li>
Conduct continuous discovery, vulnerability assessment and remediation status of enterprise-wide assets.</li><li>
Prioritize vulnerability remediation based on criticality, exploit probability, rating and business risk exposure.</li><li>
Document, prioritize, recommend, validate and report on the state of vulnerabilities.</li><li>
Work closely with infrastructure teams to advise and support remediation efforts to close vulnerability exposure to new threats in the wild and verify the organization&rsquo;s security posture against them.</li><li>
Remain current with emerging threats and share knowledge with colleagues to improve security posture.</li><li>
Implement and manage data discovery and classification to understand where sensitive data resides and how it is used.</li><li>
Design, tune and operate DLP and CASB controls to prevent unauthorized data exposure and data exfiltration.</li><li>
Drive DSPM initiatives to identify overexposed, redundant or high-risk data and support data minimization efforts.</li><li>
Monitor and analyze access to sensitive data to reduce excessive or inappropriate access and mitigate insider risk.</li><li>
Support the data governance program, including policy enforcement, standards, exception handling and documentation.</li><li>
Produce clear metrics and insights on data protection posture, risk trends and control effectiveness.</li><li>
Continuously improve data protection controls in alignment with evolving business needs and regulatory requirements.</li><li>
Generate weekly, monthly and/or ad-hoc reports for managers as requested.</li><li>
Perform other duties as assigned.</li></ul></div><div></div><div> 
Skills Requirements:</div><ul><li>
Highly technical and analytical expertise, with a proven background in technology design, implementation and delivery.</li><li>
Experience in cloud computing technologies, including software-, infrastructure and platform-as-a-service, as well as public, private, and hybrid environments.</li><li>
Extensive knowledge of traditional security controls and technologies, such as Security Information and Event Management (SIEM) systems, intrusion detection/prevention systems (IDS/IPS), antivirus and firewalls, endpoint detection and response (EDR), threat intelligence platforms, security automation and orchestration, data protection and application controls.</li><li>
Skilled in meeting vulnerability and penetration testing requirements.</li><li>
Excellence in communicating business risk from cybersecurity issues.</li><li>
Experience managing SIEM systems, vulnerability management, threat intelligence platforms, security automation and orchestration solutions, data loss prevention (DLP) and other network and system monitoring tools.</li><li>
Track record of acting with integrity, taking pride in work, seeking to excel, being curious and adaptable, and communicating effectively.</li></ul><div></div><div> 
Education Requirements</div><div><ul><li>
Bachelor&rsquo;s degree in computer science, information assurance, MIS or related field, or equivalent.</li></ul></div><div></div><div> 
Experience Requirements</div><div><ul><li>
5-7+ years of related experience required.</li></ul></div><div></div><div> 
Certification Requirements</div><div><ul><li>
CISSP (preferred); CISM and/or SANS certification or other related certifications a plus.</li></ul></div><div></div><div> 
Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.</div></div>

Information Security Engineer

<div>Position Purpose:
The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. 
ML Engineers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices. 
Key Responsibilities:<ul><li>
65% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
1 - 3 years of relevant work experience</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Familiarity with basic statistics and regression algorithms</li><li>
Familiarity with advanced statistics such as bayesian statistics</li><li>
Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Familiarity with a Linux or Unix based environment</li><li>
Familiarity with a CI/CD toolchain</li><li>
Familiarity with REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
1</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Machine Learning Engineer II (Remote)

<div><div>Position Purpose:
Oversees, maintains, and repairs equipment as well as other facility structures in a complex, warehouse environment. 
Key Responsibilities:<ul><li>
50% Troubleshoots and repairs electric lift equipment, conveyor systems, as well as technical, mechanical hydraulic and pheumatic issues where needed. Understands and troubleshoots conveyor operating system logic</li><li>
20% Performs preventative maintenance as well as necessary modifications on electric lift equipment, conveyor systems and buildings.</li><li>
10% Provides equipment status report, including details of unusual maintenance problems.
</li><li>10% Follows all safety guidelines established by manufacturer, Home Depot, or government agencies. Adheres to all safety codes and OSHA standards</li><li>
10% Maintains safe and clean working environment, performing daily cleanup of work areas</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to Area Supervisor.
</li><li>This position has 0 direct reports.</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 

Physical Requirements:<ul><li>
Must continuously stand or walk or regularly requires lifting/handling/carrying material or equipment of moderate weight (8-20 pounds).</li></ul> 

Working Conditions:<ul><li>
Typically in a comfortable environment but with regular exposure to factors such as temperature extremes, moving machinery, loud noise, and fumes which cause noticeable discomfort or a moderate risk of accident or illness.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Experience working on conveyor systems</li><li>
Must be able to work a flexible schedule which may include weekends, evenings, and holidays</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a trade school degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
1</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Experience working with general engine parts</li><li>
Basic computer skills</li><li>
Mechanical inclination</li></ul></div> 
Apply End Date: 04/01/2026</div>

DC 5829 Maintenance Technician

<div>Position Purpose:
The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Sr ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. 
Sr ML Engineers should be able to operate independently though will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices. 
Key Responsibilities:<ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2 - 4 years of relevant work experience</li><li>
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with NoSQL databases</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Senior Machine Learning Engineer (Remote)

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