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<h3>Job Description</h3>
Job DescriptionData Analysis - AI Training RoleAbout our client
 Our client is a leading force in advancing safer, smarter AI technology. Their work has been featured in Forbes, The New York Times, and other major outlets for pioneering high-quality, human-verified data that powers today’s top AI systems. 
 They have built a global community of expert contributors and have paid more than $500 million to professionals all over the world who help train, test, and improve next-generation AI models. 
Why join this team?
<ul>
<li>Earn up to $50/hr, paid weekly.</li>
<li>Payments via PayPal or AirTM.</li>
<li>No contracts, no 9-to-5 - you control your schedule.</li>
<li>Most experts work 5-10 hours/week, with the option to work up to 40 hours from home.</li>
<li>Join a global community of experts contributing to advanced AI tools.</li>
<li>Free access to the Model Playground to interact with leading LLMs.</li>
</ul>
Requirements
<ul>
<li>Bachelor’s degree or higher in a quantitative, technical, or business discipline (e.g., Statistics, Mathematics, Data Science, Operations Research, Computer Science, Engineering, Economics, Finance, or similar).</li>
<li>2+ years of experience in an analyst, consultant, or research role involving quantitative analysis, modeling, or forecasting.</li>
<li>Demonstrated experience working with datasets end-to-end: sourcing, cleaning, analyzing, and deriving insights.</li>
<li>Proficiency with data analysis tools such as Python, R, SQL, or similar, and familiarity with visualization methods.</li>
<li>Strong problem-solving skills, attention to detail, and ability to clearly explain results to non-technical audiences.</li>
</ul>
What you’ll do
<ul>
<li>Support the training of generative AI models by applying advanced analytical skills.</li>
<li>Find and source open datasets relevant to business and research needs.</li>
<li>Clean, transform, and prepare data for analysis and modeling.</li>
<li>Build statistical or forecasting models to extract meaningful insights.</li>
<li>Communicate findings clearly, emphasizing implications and actionable recommendations.</li>
</ul>
Apply now and join the top 1% of data analyst experts worldwide to shape the future of AI.

Data Analysis

<h3>Job Description</h3>
Job DescriptionCompany Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description 
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.&nbsp;
Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.&nbsp;
The AI/ML Products &amp; Analytics team is creating the next generation of scalable and responsible AI, ML and Data Innovations and products to solve client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, program managers focused on generating value for the payments ecosystem.
<ul>
<li>Responsible for building end to end automated pipeline for AI/ML models including model development, model validation, model refit, model recalibration, model monitoring and model serving etc.</li>
<li>Work collaboratively with Data Scientists, Data Engineer, Software Engineers, Product Manager and cross-functional partners to design and deploy AI/ML based solutions and products</li>
<li>Lead end to-end deployment and maintenance of machine learning models in production, from concept, design, implementation, to rollout, ensuring the highest quality and performance</li>
<li>Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Visa’s unique business and offerings.</li>
<li>Design, implement, and maintain reliable, high-performance distributed systems.</li>
</ul>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.&nbsp;
Relocation assistance is not provided for this role.&nbsp;
Qualifications 
Basic Qualifications: 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Master’s or Advanced Degree in a Quantitative field such as Statistics, Computer Science, Economics, Engineering, or equivalent with analytics expertise in applying statistical solutions to business problems 3+ years of relevant experience in AI/ML model development and deployment with an Advanced Degree Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions. Advanced programming ability building Machine learning pipelines in Spark, Python, HIVE or Scala, Airflow, github, MLflow that deploy AI models into production Exposure to model management and governance practices. Ability to take decisions around model drift to monitor and refine models continuously. Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit, Pandas etc.) Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree, Transformer model, and LLM etc Experience working with large scale data ingestion, processing and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.). Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE’s (Jupiter Notebooks). Experience working with AWS for MLOps model development and model implementation is preferred but not required. Proficient with office tools excel, word. Familiar with visualization Tools like Tableau, Power BI Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.
 Additional Information 
Work Authorization:&nbsp;Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel&nbsp;5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting.&nbsp; The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer.&nbsp; Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.&nbsp; Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Machine Learning Engineer

<h3>Job Description</h3>
Job Description
Continuous Improvement Manager | Norton Shores, MI
Salary Range: $91,000 - $138,000 depending on experience
Are you ready to take on a challenging and rewarding opportunity in {{role_field}}? The Pivot Group is committed to building meaningful connections in manufacturing. We partner with leading companies in Norton Shores seeking Continuous Improvement Managers.
The Opportunity
We are partnering with organizations in Norton Shores that are seeking Continuous Improvement Managers. These companies are committed to building strong teams and are looking for professionals who can lead initiatives effectively. By connecting with Pivot Group, you position yourself for roles that match your background and aspirations.
Key Responsibilities
<ul>
<li>Lead the implementation of Lean Manufacturing and Six Sigma methodologies.</li>
<li>Identify and analyze process inefficiencies and waste across production lines.</li>
<li>Champion a culture of continuous improvement through training and mentorship.</li>
<li>Manage and execute CI projects from initiation to successful completion.</li>
<li>Develop and track key performance indicators (KPIs) to measure improvement impact.</li>
<li>Collaborate with cross-functional teams to drive process optimization.</li>
<li>Standardize best practices and ensure their sustained application.</li>
</ul>
Recommended Qualifications
<ul>
<li>Lean Six Sigma Black Belt certification</li>
<li>5+ years of experience leading continuous improvement initiatives in a manufacturing environment</li>
<li>Demonstrated proficiency in data analysis, statistical process control (SPC), and root cause analysis tools</li>
<li>Strong project management skills with a proven track record of successfully implementing process improvements</li>
<li>Excellent leadership, communication, and change management skills, with experience coaching and mentoring teams</li>
</ul>
Bonus Qualifications
<ul>
<li>Proficiency with advanced statistical software (e.g., Minitab, JMP) or data visualization tools (e.g., Power BI, Tableau).</li>
<li>Experience with Theory of Constraints (TOC) or Total Productive Maintenance (TPM) methodologies.</li>
<li>Project Management Professional (PMP) certification or equivalent.</li>
<li>Demonstrated experience integrating Industry 4.0 technologies (IoT, AI) into continuous improvement initiatives.</li>
</ul>
Job Titles That Should Apply
Process Improvement Manager, Lean Manager, Operational Excellence Manager, Six Sigma Manager, Business Process Improvement Manager, CI Manager, Process Excellence Manager, Lean Six Sigma Manager, Performance Improvement Manager, Continuous Improvement Lead
Why Pivot Group
The Pivot Group was founded by manufacturing professionals who've been on both sides of the hiring process. Our clients are strategic—they partner with us because they want real insight into their roles and the people filling them, not a stack of resumes. We focus on match-driven placements built around what actually matters: Commute, Compensation, Culture, and Career trajectory.
If you're ready to take the next step in your career and connect with a firm that values fit over speed, we invite you to reach out. The Pivot Group offers resources to support your search—market insights, resume feedback, and interview preparation. As our partnerships grow, we'll reach out with opportunities aligned with your goals. Thank you for considering this approach to career advancement.

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