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automation engineer (shreveport, la)

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call center service advocate i - remote

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corporate project engineer (remote)

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cybersecurity engineer ii, saas (remote)

machine learning engineer ii remote

The Home Depot

<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>Position Purpose:
The Staff 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. Staff 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. 
Staff ML Engineers will be a core player on the product team and are expected to build and grow skillsets of more junior engineers. You will also be able to drive multiple ML initiatives by directing algorithm and technology product design 
Key Responsibilities:<ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; 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; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</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>
3 - 6 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 in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</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 with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in a modern scripting language (preferably Python)</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>
Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Experience in NoSQL databases</li><li>
Experience in cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Experience in defensive coding practices and patterns for high Availability</li><li>
Experience in A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</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>
3</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>

Staff Machine Learning Engineer (Remote)

<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)

<div>Position Purpose:
The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer IIs may be involved in configuration, security, resilience, performance tuning and production monitoring. 
Key Responsibilities:<ul><li>
60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software 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 destructive testing 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>
20% Learning - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position typically repots to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
No travel required.</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 writing SQL queries against a relational database</li><li>
Experience in version control systems</li><li>
Experience in front end technology such as HTML, CSS, and Javascript/Typescript frameworks</li><li>
Experience in an object-oriented programming language (preferably Java)</li><li>
Experience in source code version control</li><li>
Experience in Relational or noSQL database technology</li><li>
Experience in cloud computing techniques</li><li>
Experience in CI/CD tools</li><li>
Experience in microservice-based architecture</li><li>
Experience with modern debugging and root cause analysis techniques</li><li>
Exposure to security frameworks for user and services authorization and authentication</li><li>
Exposure to creating and executing unit, functional, destructive and performance tests</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>
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>

Software Engineer II, Technology Asset Management (REMOTE)

Pratt Industries

<div>Job Title: Automation Engineer

SUMMARY-
We are seeking a highly skilled and motivated AI/Automation Engineer/Systems Integrator to join our innovative team. The ideal candidate will have a strong background in integrating advanced AI technologies into manufacturing processes, with a focus on enhancing efficiency, productivity, and quality. This role requires a hands-on professional with a deep understanding of AI, machine learning, automation systems, and systems integration.

ESSENTIAL DUTIES AND RESPONSIBILITIES: (Other duties may be assigned)-
<ul>
<li>Integration of AI Technologies: Design, develop, and implement AI solutions to automate and optimize manufacturing processes. Collaborate with cross-functional teams to integrate AI systems into existing workflows and machinery.</li>
<li>System Analysis and Design: Analyze current manufacturing systems to identify opportunities for AI and automation integration. Develop detailed design specifications and functional requirements.</li>
<li>Algorithm Development: Create and deploy machine learning algorithms and models to predict, analyze, and enhance manufacturing outcomes.</li>
<li>Project Management: Lead and manage AI integration projects from conception through implementation, ensuring timely delivery and adherence to project goals.</li>
<li>Data Management: Collect, preprocess, and analyze large sets of manufacturing data to train AI models. Ensure data integrity and security throughout the process.</li>
<li>Continuous Improvement: Continuously monitor and evaluate the performance of AI systems, implementing improvements and updates as necessary to maintain optimal performance.</li>
<li>Technical Support: Provide ongoing technical support and training to manufacturing teams on the use and maintenance of AI systems.</li>
</ul>
EDUCATION and/or EXPERIENCE-
<ul>
<li>Education: Bachelor's or Master's degree in Engineering, Computer Science, AI, Robotics, or a related field.</li>
<li>Experience: Proven experience in AI, machine learning, and automation within a manufacturing environment. Strong background in systems integration and project management.</li>
<li>Technical Skills: Proficiency in programming languages such as Python, R, and C++. Experience with AI frameworks and tools such as TensorFlow, Keras, and PyTorch. Knowledge of PLCs, SCADA systems, and industrial automation protocols.</li>
<li>Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights.</li>
<li>Communication Skills: Excellent verbal and written communication skills with the ability to convey technical concepts to non-technical stakeholders.</li>
<li>Team Player: Ability to work effectively in a team environment and collaborate with cross-functional teams to achieve common goals.</li>
<li>Industry Certifications: Relevant certifications in AI, machine learning, or automation engineering.</li>
<li>Experience with Emerging Technologies: Familiarity with IoT, edge computing, and advanced robotics as they pertain to manufacturing.</li>
<li>Innovative Mindset: A proactive approach to exploring and implementing cutting-edge technologies to drive continuous improvement.</li>
<li>
</li></ul>LANGUAGE SKILLS-
<ul><li>Ability to read, analyze, and interpret technical procedures, manuals, regulations, and codes</li></ul>
<ul><li>Ability to write business reports and correspondence</li></ul>
<ul><li>Ability to communicate effectively with suppliers, contractors, employees and outside officials to the company</li></ul>
<ul><li>Clear, concise oral and written communication skills</li></ul>

MATHEMATICAL SKILLS-
<ul><li>Ability to apply concepts of algebra and statistics along with basic math (adding, subtracting, multiplying and dividing)</li></ul>

REASONING ABILITY-
<ul><li>Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists</li></ul>
<ul><li>Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form</li></ul>

TECHNICAL SKILLS-
<ul><li>Ability to gather information and perform detailed analysis and problem solving</li></ul>
<ul><li>Ability to create reports for review by upper management</li></ul>

Computer literate with proficiency in Microsoft Word, PowerPoint, Excel, Seeq, and ML/AI software as required to perform the responsibilities of this position

PHYSICAL DEMANDS-
<ul><li>Employee is regularly required to walk, talk, and hear</li></ul>
<ul><li>Employee is frequently required to stand; use hands to finger, handle, feel; and reach with hands and arms</li></ul>
<ul><li>The employee is occasionally required to sit</li></ul>
<ul><li>The employee must regularly lift and/or move up to 50 pounds</li></ul>
<ul><li>Vision requirements include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus</li></ul>

WORK ENVIRONMENT-
<ul><li>The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job</li></ul>
<ul><li>While performing the duties of this job, the employee can be exposed to wet and/or humid conditions, moving mechanical parts, and fumes of airborne particles</li></ul>
<ul><li>The noise level in the field work environment is usually loud when working in the manufacturing plants
</li></ul><ul><li>The position may work remotely at times as deemed necessary by the General Manager
</li></ul>Equal Employment Opportunity/Affirmative Action Employer/Veterans/Disabled.
Requirements:
Pratt Industries is America's 4th largest paper and packaging company with more than 10,000+ highly skilled green collar employees dedicated to the environment and sustainability. Pratt Industries is one of the largest corrugated packaging companies in America, with sophisticated manufacturing facilities in more than twenty states. The company operates several of the most modern, cost effective paper mills in the country, as well as a series of sheet and box plants strategically placed throughout the United States offering a wide range of creative packaging solutions. Pratt Industries is committed to recycling and the environment by harvesting the urban forest. 
 
Pratt Industries offers competitive compensation plans with incentive opportunities, full benefits package including medical, dental, vision, life, disability, All State, Pre-Paid Legal, and 401(k) with company match, paid vacation, paid holidays, and childbearing and parental leave.</div>

Automation Engineer (Shreveport, LA)

Metas Solutions

<div>Metas Solutions has an &quot;opening&quot; for a talented Senior Data Engineer based in Atlanta, GA. The ideal candidate must be able to work onsite in the Atlanta metro area and someone who's proficient in Databricks workspaces and Azure infrastructure. In this position, you'll drive the next generation of our analytics products by architecting and delivering end-to-end cloud analytics solutions. In a fully cloud-native environment, you'll partner with product managers, data scientists, software engineers, machine learning (ML) engineers and business analysts to enable and support a platform that powers personalized experiences and operational efficiency. You'll leverage automated model CI/CD, containerized deployments (Docker/Kubernetes), and real-time monitoring to ensure our ML systems are reliable, secure, and scalable.
You will be responsible for the design, implementation, and maintenance of the Databricks workspaces and its associated Azure infrastructure. You will manage and optimize data and machine learning workloads, ensuring a reliable, secure, and scalable platform for business analysts, data engineering and data science teams.
Responsibilities:<ul><li>
Lead the administration and governance framework of the platform regarding the security posture of the enterprise and its key stakeholders</li><li>
Design and implement automated solutions to streamline accounts and workspace administration</li><li>
Collaborate with cross-functional teams to understand business needs and translate them into ML solutions</li><li>
Mentor junior engineers and provide technical leadership in Databricks best practices and techniques</li><li>
Conduct cost and performance analysis of the various computes, and data assets within the platform</li><li>
Stay current with the latest advancements in Databricks SQL, Machine Learning and AI, and integrate new technologies and methods as applicable</li><li>
Engage in knowledge sharing and contribute to building a strong, collaborative team environment</li></ul>
Qualifications:<ul><li>
5+ years of experience with Databricks Account and Workspace Administration, including governance, configuration, and security management</li><li>
Experience with optimizing Databricks environments for cost efficiency, performance, and reliability</li><li>
Experience with developing and maintaining Databricks data pipelines using Autoloader, Delta Live Tables, and Databricks Workflows</li><li>
Experience with implementing MLOps solutions using MLflow 2.0/3.0, Serving Endpoints, and Model Registry in production environments</li><li>
Experience with Databricks SQL tools such as Queries and AI/BI Dashboards</li><li>
Experience with large datasets and distributed computing across cloud platforms (AWS, GCP, Azure), including Azure services like Entra ID, Data Factory, Key Vault, and Purview</li><li>
Knowledge of Unity Catalog Governance Architecture and enterprise data security best practices</li><li>
Possession of strong communication and documentation skills with the ability to clearly convey complex technical concepts to both technical and non-technical audiences</li><li>
Ability to work on-site in Atlanta, Georgia</li><li>
Master's degree in computer science, Computer Engineering, or related programs</li></ul>
Additional Qualifications:<ul><li>
Knowledge of Azure Cloud Networking concepts like VNET Injection</li><li>
Databricks Platform Administrator Certification</li><li>
Microsoft Certified: Azure Administrator Associate</li></ul>
Security Requirements:<ul><li>
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period</li><li>
Market competitive salary, commensurate with experience and education</li><li>
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities</li></ul>
We are an Equal Opportunity Employer/Veterans/Disabled</div>

Senior Data Engineer

<div>SUMMARY

Position leads the data science initiative in all areas of BRR Plus's responsibilities, including Pratt Industries and Visy, providing professional knowledge and expertise in the areas of large data analytics in support of operational improvements across all facets as designated by the General Manager. The position will be expected to build data/machine learning products to extract valuable business insights.

ESSENTIAL DUTIES AND RESPONSIBILITIES: (Other duties may be assigned)
<ul>
<li>Identify valuable data sources and automate collection processes</li>
<li>Undertake preprocessing of structured and unstructured data</li>
<li>Analyze large amounts of information to discover trends and patterns</li>
<li>Leverage programming skills to develop automated systems that help improve business operations</li>
<li>Build predictive models and machine-learning algorithms</li>
<li>Present information using data visualization techniques</li>
<li>Collaborate with engineering and production teams</li>
<li>Assist all Pratt/Visy locations (via remote login, video conferencing, or onsite support), provide direction, training, and development support, roll out pre-developed tools, expedite installation of insightful data products</li>
<li>Travel as required to support development of other Pratt/Visy locations</li>
</ul>
EDUCATION and/or EXPERIENCE
<ul>
<li>Experience as a Data Scientist or Data Analyst preferred</li>
<li>Understanding of machine-learning and operations research preferred or demonstrated ability and desire to learn ML/AI methods to develop the desired outcome</li>
<li>Knowledge of DCS systems, Data Historians, and Data Analytics software such as: dataParc, Seeq, Python</li>
<li>Analytical mind and business acumen</li>
<li>Strong math skills (e.g. statistics, algebra)</li>
<li>Problem-solving aptitude</li>
<li>Excellent communication and presentation skills</li>
<li>Post-secondary educational degree (2 to 4-year degree from college, university, technical school, military, vocational or other advanced educational institution) REQUIRED</li>
<li>Candidates are preferred who offer the following:</li>
<li><ul><li>BS degree in Chemical Engineering, Pulp and Paper, or other engineering disciplines related to field</li>
</ul></li>
</ul>LANGUAGE SKILLS

Ability to read, analyze, and interpret technical procedures, manuals, regulations, and codes

Ability to write business reports and correspondence

Ability to communicate effectively with suppliers, contractors, employees and outside officials to the company

Clear, concise oral and written communication skills

MATHEMATICAL SKILLS

Ability to apply concepts of algebra and statistics along with basic math (adding, subtracting, multiplying and dividing)

REASONING ABILITY

Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists

Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form

TECHNICAL SKILLS

Ability to gather information and perform detailed analysis and problem solving

Ability to create reports for review by upper management

Computer literate with proficiency in Microsoft Word, PowerPoint, Excel, Seeq, and ML/AI software as required to perform the responsibilities of this position

PHYSICAL DEMANDS

Employee is regularly required to walk, talk, and hear

Employee is frequently required to stand; use hands to finger, handle, feel; and reach with hands and arms

The employee is occasionally required to sit

The employee must regularly lift and/or move up to 50 pounds

Vision requirements include: close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job

While performing the duties of this job, the employee can be exposed to wet and/or humid conditions, moving mechanical parts, and fumes of airborne particles

The noise level in the field work environment is usually loud when working in the manufacturing plants

The position may work remotely at times as deemed necessary by the General Manager

Requirements:
Pratt Industries is America's 4th largest paper and packaging company with more than 12,000 highly skilled green collar employees dedicated to the environment and sustainability. Pratt Industries is one of the largest corrugated packaging companies in America, with sophisticated manufacturing facilities in more than twenty states. The company operates several of the most modern, cost effective paper mills in the country, as well as a series of sheet and box plants strategically placed throughout the United States offering a wide range of creative packaging solutions. Pratt Industries is committed to recycling and the environment by harvesting the urban forest. 
 
Pratt Industries offers competitive compensation plans with incentive opportunities, full benefits package including medical, dental, vision, life, disability, All State, Pre-Paid Legal, and 401(k) with company match, paid vacation, paid holidays, and childbearing and parental leave.</div>

Data Science Engineer - Part Time (Shreveport, LA)

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