senior software engineer

senior staff ai data engineer (tech lead) Jobs in Chicago

senior staff ai data engineer (tech lead)

sr machine learning engineer Jobs in Chicago

sr machine learning engineer

staff machine learning engineer

PayPal

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. 
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:
Essential Responsibilities:
<ul><li>Lead the development and optimization of advanced machine learning models.</li><li>
Oversee the preprocessing and analysis of large datasets.</li><li>
Deploy and maintain ML solutions in production environments.</li><li>
Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>
Monitor and evaluate the performance of deployed models, making necessary adjustments.</li></ul>
Expected Qualifications:<ul><li>
5+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li><li>
Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>
Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li></ul>
PayPal is committed to fair and equitable compensation practices.
 
 
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. 
 
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com. 
 
The U.S. national annual pay range for this role is $169,500 to $291,500

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. 
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com 
 
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 
 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. 
Any general requests for consideration of your skills, please Join our Talent Community. 
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</div>

Staff Machine Learning Engineer

Brillio LLC

<div><h1 class="jobSectionHeader">Principal Data Scientist - R01554696</h1>
<div>Principal Data Scientist</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
Qualifications Required: Master&rsquo;s plus degree in Computer Science, Statistics, Applied Mathematics, or a related field. 7+ years of experience in data science and machine learning, with a proven track record of delivering models to production. Proficiency in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow. Strong understanding of statistical modeling, machine learning algorithms, and experiment design. Solid experience with SQL and data manipulation tools (e.g., Pandas, Spark, or Dask). Experience deploying models using APIs (Flask, FastAPI), Docker, and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Hands-on experience with cloud platforms (AWS, GCP, or Azure) and model serving tools. Excellent problem-solving and communication skills; able to explain complex concepts clearly and effectively. Preferred: Familiar with McDonald&rsquo;s business Experience with time series forecasting, causal inference, recommendation systems, or NLP. Familiarity with data versioning and reproducibility tools (e.g., DVC, Weights &amp; Biases). Exposure to feature stores, streaming data (e.g., Kafka), or real-time ML systems. Background in MLOps and experience building generalizable ML frameworks or platforms. Here is some additional context that we have put together regarding what we are looking for: Core Technical Skills ML Engineer Preferred: Ideally, the candidate should be an ML Engineer, though seasoned Data Scientists with relevant experience are suitable. Python &amp; SQL: Strong coding and data manipulation skills. Time-Series Forecasting: Experience with LGBM (LightGBM) and Darts library. MLOps Expertise Preferred: Hands-on experience with Astronomer, Airflow, and DAG creation. Capable of building wrappers and scalable pipelines. This skill is highly valuable, but not a deal breaker. Cloud Platforms: Proficient in AWS, with exposure to GCP preferred. Debugging &amp; Troubleshooting: Skilled in investigating and resolving issues in Python experiments and executions. GitHub Proficiency: Comfortable working in repositories with many contributors, managing branches, pull requests, and code reviews. Collaboration &amp; Work Style Self-Starter: Able to work independently and proactively contribute ideas. Team-Oriented: Willing to support Roman and Calvin while offering directional guidance on model enhancements. Fast Learner: Quick to adapt to new tools, workflows, and business contexts to rapidly onboard into the project. Domain Expertise Sales Forecasting: Proven experience in building and refining forecasting models. Understanding of business KPIs and translating insights into action.</li></ul></div>

Principal Data Scientist – R01554696

Tampoprint International Corporation

<div>Benefits: 
<ul><li>Competitive salary</li>
<li>Flexible schedule</li>
<li>Health insurance</li>
<li>Opportunity for advancement</li>
<li>Paid time off</li>
<li>Training &amp; development</li>
</ul> 
Mechanical Design Engineer 
 
Location: Chicago, IL
 
Salary: $80K - $100K 
 
We are looking for an experienced Mechanical Design Engineer who wants to grow within a new division of our company. We are a leading global provider in the pad printing market. You will have the opportunity to make a significant impact in our machine design and assembly department with plenty of room for advancement. 
 
What we offer: 
 
<ul><li>The opportunity to grow within the new technical division of the Company.</li>
<li>Being part of a team designing automations.</li>
<li>Competitive compensation and benefit package.</li>
</ul>What your role will be: 
 
<ul><li>Designing automations for print applications and their components, from concept through development.</li>
<li>Providing technical support for customer inquiries and consultations.</li>
<li>Estimating construction costs and design hours for projects, in collaboration with Sales Engineers.</li>
<li>Ensuring projects meet quality, economic, and time-related standards.</li>
<li>Working alongside our international R&amp;D team to develop products and machine concepts with a focus on quality and cost.</li>
<li>Creating detailed risk assessments and complying with ANSI/ISO 12100 safety standards.</li>
<li>Developing and maintaining part and assembly drawings, pneumatic plans, and machine documentation.</li>
<li>Collaborating with cross-functional teams, including electrical design departments, to ensure seamless integration.</li>
<li>Participating in client meetings, advising on design choices, and adjusting designs based on feedback.</li>
<li>Occasionally performing acceptance testing to ensure machinery meets performance standards.</li>
</ul>What We're Looking For: 
 
<ul><li>Experience in automated machinery design.</li>
<li>Proficiency in SolidWorks and a solid understanding of design principles.</li>
<li>Expertise in Microsoft Office and strong cost analysis skills.</li>
<li>Ability to manage budgets and track working hours during the design phase.</li></ul></div>

Mechanical Design Engineer

The Hartford

<div>Sr Staff Data Engineer - GE07DE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
The Enterprise Data Services Department&rsquo;s Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech Lead) to join our team. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. The role focuses on integrating data from multiple systems, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud tools and technologies. You uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs&mdash;including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science.
Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.
To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.</li><li>
Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.</li><li>
Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.</li><li>
Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems.</li><li>
Curate and publish Data Products to support analytics, visualization, and machine learning use cases.</li><li>
Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.</li><li>
Apply best practices for data modeling, governance, and security across all solutions.</li><li>
Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.</li><li>
Monitor and fine-tune data pipelines for performance, scalability, and reliability.</li><li>
Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.</li><li>
Develop self-healing pipelines with robust re-startability mechanisms for resilience.</li><li>
Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.</li><li>
Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.</li><li>
Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.</li><li>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.</li><li>
Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.</li><li>
Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.</li></ul>
Required Skills &amp; Experience:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related discipline.</li><li>
5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry.</li><li>
3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.</li><li>
Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years).</li><li>
Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).</li><li>
3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.</li><li>
Strong technical knowledge (AI solution leveraging Cloud and modern solutions)</li><li>
3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.</li><li>
2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.</li><li>
Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.</li><li>
Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.</li></ul>
Nice to Have<ul><li>
Certifications in AWS Data &amp; Analytics Services, Snowflake, and Informatica IDMC.</li><li>
Experience in building and integrating AI agents into data workflows.</li><li>
Strong knowledge of data governance, including metadata management and lineage tracking, with hands-on experience collaborating with the Data Governance Office.</li></ul>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</div>

Senior Staff AI Data Engineer (Tech Lead)

World's Finest Chocolate

<div><div>POSITION OVERVIEW: The Packaging Machinery Engineer, reporting to the Engineering Manager, is responsible for the design, development, installation, optimization, and maintenance of automated packaging systems used in manufacturing operations. This role ensures packaging equipment operates efficiently, safely, and cost-effectively to meet production and quality goals. The engineer will collaborate with cross-functional teams&mdash; production, maintenance, quality, and suppliers&mdash;to deliver innovative packaging solutions and continuous improvements.</div>
<div></div><div>KEY RESPONSIBILITIES:</div>
<div>Installation &amp; Commissioning</div>
<ul><li>Manage installation, setup, and validation of packaging lines and automation equipment</li>
<li>Coordinate with vendors, contractors, and internal teams to ensure on-time delivery and performance</li>
<li>Develop and execute FAT (Factory Acceptance Test) and SAT (Site Acceptance Test) protocols</li>
</ul><div>Optimization &amp; Troubleshooting</div>
<ul><li>Analyze machine performance data to identify bottlenecks and areas for improvement</li>
<li>Implement process improvements to increase uptime, reduce waste, and enhance efficiency</li>
<li>Troubleshoot mechanical, electrical, and control system issues</li>
</ul><div>Maintenance &amp; Reliability</div>
<ul><li>Support preventive and predictive maintenance programs for packaging equipment</li>
<li>Develop maintenance documentation, SOPs, and training materials for technicians and operators</li>
<li>Specify spare parts and manage supplier relationships for critical components</li>
</ul><div>Compliance &amp; Safety</div>
<ul><li>Ensure all equipment and processes comply with OSHA, FDA, GMP, and other applicable regulations</li>
<li>Participate in safety audits and risk assessments</li>
</ul><div>Project Management</div>
<ul><li>Manage capital projects from concept to completion, including budgeting and scheduling.</li>
<li>Prepare technical documentation, equipment specifications, and project reports.</li>
</ul><div>QUALIFICATIONS:</div>
<ul><li>Bachelor&rsquo;s degree in mechanical engineering, Mechatronics, or related field</li>
<li>Certified Packaging Professional (CPP) or equivalent preferred</li>
<li>Six Sigma Green Belt or similar process improvement certification preferred</li>
<li>At least 4-7 years of experience in packaging machinery design, maintenance, or process engineering (food, beverage, pharmaceutical, or consumer goods industry preferred)</li>
<li>Strong knowledge of packaging automation, PLCs, sensors, pneumatics, and motion control systems</li>
<li>Proficiency with CAD and 3D modeling software</li>
<li>Familiarity with Lean Manufacturing, Six Sigma, and TPM principles is a plus</li>
<li>Strong communication and collaboration skills</li>
<li>Attention to detail and commitment to safety and quality</li>
</ul><div>TRAVEL: Travel to equipment vendors or other sites as required (up to 15%)</div>
<div></div><div>WORKING ENVIRONMENT: Regular work in a manufacturing setting, including exposure to noise, temperature variations, and food processing environments.</div>
<div></div><div>COMPENSATION:</div>
<ul><li>Base Salary: $115,000 - $125,000 per year</li>
<li>Annual Bonus: 5% of base salary, based on company and/or individual performance</li>
<li>Medical insurance</li>
<li>Dental insurance</li>
<li>Vision insurance</li>
<li>Wellness Program</li>
<li>401k Matching</li>
<li>HSA/FSA</li>
<li>LifeLock Identity Theft Protection</li>
<li>STD/LTD</li>
<li>Life Insurance</li>
<li>Tuition Reimbursement</li>
</ul><div>EQUAL OPPORTUNITY EMPLOYER: 
World&rsquo;s Finest Chocolate is an equal opportunity employer and is committed to creating a diverse and inclusive workplace. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. We celebrate diversity and are dedicated to providing an environment of respect and inclusivity for all employees.</div></div>

Packaging Machinery Engineer

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. 
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:
Essential Responsibilities:
<ul><li>Develop and optimize machine learning models for various applications.</li><li>
Preprocess and analyze large datasets to extract meaningful insights.</li><li>
Deploy ML solutions into production environments using appropriate tools and frameworks.</li><li>
Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>
Monitor and evaluate the performance of deployed models.</li></ul>
Expected Qualifications:<ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li><li>
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li><li>
Several years of experience in designing, implementing, and deploying machine learning models.</li></ul>
PayPal is committed to fair and equitable compensation practices.
 
 
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. 
 
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com. 
 
The U.S. national annual pay range for this role is $137,500 to $236,500

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. 
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com 
 
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 
 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. 
Any general requests for consideration of your skills, please Join our Talent Community. 
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</div>

Sr Machine Learning Engineer

Dialysis Care Center

<div><div>PURPOSE AND SCOPE:</div><div> 
Supports the mission, core values and customer service of Home Dialysis Services &amp; Dialysis Care Center, LLC (HDS/DCC). 
Adheres to the HDS/DCC Policies and Procedures and Compliance Program including all state and federal regulatory requirements. 
 
The In Center Hemodialysis Patient Care Technician is responsible for providing exceptional hemodialysis care to patients under the supervision of the RN in the assigned In Center. 
 
PRIMARY DUTIES / ACTIVITIES:</div><ul><li>
Entering prescribed treatment into dialysis machine, setting up dialysis machines, dismantling dialysis machine after treatment is completed, performing chemical disinfection of dialysis machines and recording.</li><li>
Observing dialysis machines and RO water system for correct functioning, responding to visual and audible alarms and making appropriate adjustments throughout the dialysis treatment to ensure patient safety.</li><li>
Monitoring vital signs during treatment and taking patient vitals pro and post dialysis; blood pressure, temperature, weight and documenting it on the Hemodialysis Treatment Record</li><li>
Perform vascular access evaluation pre-treatment and report unusual findings to RN immediately</li><li>
Perform cannulation of patient&rsquo;s vascular access or performing catheter care, as allowed by state law.</li><li>
Obtain homeostasis and apply appropriate dressings.</li><li>
Adheres to all facility policies, procedures, and protocols, participates in all required staff meetings.</li><li>
Collects patient data, monitor and document status of vascular accesses, and patient observations.</li><li>
Reviews lab work, collecting or obtaining blood samples and blood culture specimens and prepares package for shipping.</li><li>
Immediately reports abnormal findings or change in status to assigned RN for further evaluation.</li><li>
Communicates all emergencies, patient life-threatening complications, and related situations to the attention of the RN for further instruction.</li><li>
Maintains compliance with safety and infection preventative measures, ensuring patient safety.</li><li>
Reinforces education with patients and family members on all aspects of End Stage Renal Disease.</li><li>
Assists in the management of inventory supplies.</li><li>
Other duties, as assigned.</li></ul><div>
CUSTOMER SERVICE:</div><ul><li>
Responsible for supporting the values and customer service standards of HDS/DCC.</li><li>
Accountable for outstanding customer service to all staff, clients and vendors</li><li>
Develops and maintains effective relationships through effective and timely communication.</li><li>
Initiates action to respond, resolve and follow up regarding customer service issues with all customers in a timely manner.</li></ul><div>
EDUCATION/ QUALIFICATIONS:</div><ul><li>
Must possess a minimum of High School diploma or GED</li><li>
Current CCHT, Bonent or State required certificate</li><li>
Current CPR card</li></ul><div> 

EXPERIENCE:</div><ul><li>
Must be PC proficient and able to thrive in a fast-paced setting; experience in Microsoft Office Suite: Outlook, Word and Excel a must</li><li>
Good presentation &amp; communication skills</li><li>
Must be productive &amp; resourceful with the ability to meet deadlines</li></ul><div>
OTHER QUALIFICATIONS:</div><ul><li>
1 or more years&rsquo; experience as a certified Patient Care Technician preferred</li><li>
Must be a self-starter who can work independently yet function in a highly collaborative, fast-paced team environment.</li><li>
Ability to multi-task, work under pressure and meet deadlines effectively</li><li>
Excellent written and oral communication skills</li><li>
Strong data entry, organizational and interpersonal skills</li><li>
High integrity, team player with patient service focus and flexibility</li></ul>
PHYSICAL DEMANDS AND WORKING CONDITIONS:
The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
Working hours can vary including the days, nights, weekends, and holidays. This position requires extensive travel between assigned patient&rsquo;s homes and may be up to long distances depending on the patient&rsquo;s needs. Travel to scheduled staff meeting may be required. PCTs spend considerable time walking, bending, stretching, and standing; assisting in patient transfers. PCTs must follow proper body mechanics and procedures for lifting/ repositioning patients without injury. PCTs may face hazards from exposure to chemicals and infectious/ contagious diseases. The work environment is characteristic of a dialysis facility with air temperature control and moderate noise. 
Ability to lift at least 30 pounds. Moving, lifting or transferring of patients may involve lifting of up to fifty (50) pounds.
Must be able to pass the Isahara&rsquo;s Color Blindness Test.<div><div><div>
Medical Plans:</div></div><ul><li>
Two PPO Plans (Preferred Provider Organization)</li><li>
HSA Plan (Health Savings Account)<ul><li>
A plan that allows you to set aside pre-tax money for medical expenses.</li></ul></li></ul><div><div>
Additional Benefits:</div></div>
1. Dental Plans (Two options available)
2. Vision Plan
3. Basic Life Insurance
4. Critical Illness Insurance<div>
5. Accident Insurance</div>
6. Hospital Indemnity Insurance
7. Long-Term Disability<div><div>
Company-Sponsored Plans:</div></div><ul><li>
Basic Life Insurance</li><li>
Short-Term Disability Insurance</li></ul></div> 
The duties listed in this job description are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position.</div>

Patient Care Tech - In Center

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