Data & Artificial Intelligence Engineer
Ariens Plant 1, United States
At AriensCo, we build more than exceptional products – we create opportunities that impact careers. Our culture values innovative thinking, hard work and determination. We interact in teams, collaborate together and make decisions quickly.
We see growth potential in every team member, and are committed to supporting our employees with continuous training and advancement opportunities.
Our environment? We’re corporate, without being “corporate.” Whether you work at our headquarters, manufacturing facilities, or one of our global distribution businesses, you’ll always have the freedom to create and contribute. Our company vision is “Passionate People, Astounded Customers.” Quite simply: it revolves around people
Speaking of people, you’re not just employee #1,762 to us. You’re family and your role is invaluable. Without exceptional people, we can’t continue to produce the amazing products we're known for around the world.
Ready for the ride of your career? Then come join us. By joining our team, you'll have the opportunity to work in a rewarding workplace with a strong sense of community.
As a Data & AI Engineer, you will be responsible for developing and maintaining the infrastructure for data generation, collection, analysis, and AI modeling. You will ensure the integrity of AriensCo master data, scalability, and data quality standards. You will collaborate closely with cross-functional teams, including Manufacturing Technology, Autonomous Technology, business analysts, developers, and third-party partners, to design, implement, and maintain the data warehouse, data models, and AI models. Your expertise in data warehousing, data and AI modeling, data governance, and data quality will be essential for optimizing reporting, AI capabilities, and the organization’s data-driven decision-making.
THE DAY TO DAY...
- Data Pipeline Development: Build and maintain data pipelines/ETL jobs for loading data from internal and external sources into the data warehouse while maintaining accurate and quality datasets. Adhere to the AriensCo development standards for data extracting, transforming, and loading into the data warehouse
- AI Model Development: Design, develop, and deploy machine learning and AI models with a strong understanding of AI frameworks and best practices. Continuously monitor and optimize AI models for performance and accuracy
- Data Warehouse Maintenance: Perform data warehouse maintenance, scheduling, and migrations for performance and accuracy. Maintain the metadata layer for BI development and reference
- Data Analysis: Perform data preprocessing, cleaning, and analysis to extract actionable insights. Understand BI reporting and visualization with some experience using Power BI or similar reporting applications
- Integration: Work with the BI, integration, and software developers to integrate AI models for performance and accuracy
- Data Validation and Quality Assurance: Perform data validation and quality assurance checks to identify and resolve data integrity issues, inconsistencies, and anomalies adhering to the organization's data quality standards and best practices
- Troubleshooting/Issue Resolution: Identify and troubleshoot ETL job and AI model issues, data warehouse errors, and performance bottlenecks to ensure smooth and uninterrupted data flow
- Documentation: Create and maintain technical documentation including data integration specifications, system and data flow diagrams, and system configurations
- Performance/Monitoring: Generate reports and metrics to measure data warehouse and AI model performance and identify areas for improvement
- Collaboration/Communication: Collaborate with cross-functional teams including business end-users, business analysts, developers and infrastructure/systems team members to gather requirements, understand data dependencies and ensure successful ETL jobs and AI models
- Data Governance/Security: Adhere to data governance policies, security and regulatory compliance requirements to protect sensitive and confidential data throughout the ETL and AI processes
- Continuous Improvement: Stay updated with emerging data storage, movement, and AI technologies, tools and best practices. Recommend & implement process improvements to enhance ETL and AI model efficiency, scalability and reliability
THE QUALIFICATIONS...
- Bachelor’s Degree in Computer Science, Data Science, Data or AI Engineering or related field; Master's Degree preferred
- A minimum of 3 years of experience in data engineering and AI model development
- Strong understanding of ETL concepts/techniques, the Kimball Methodology and best practices
- Experience with AI and machine learning frameworks like Tensorflow, PyTorch, or Scikit-learn
- Strong knowledge of SQL and experience with NoSQL databases.
- Proficiency in programming languages such as Java, Python, R, or SQL
- Strong knowledge in data movement tools such as Talend, Azure Data Factory, and Informatica
- Familiarity with cloud services such as Azure and Google Cloud
- Excellent problem-solving skills and attention to detail
- Familiarity with data governance, data security, and regulatory compliance
- Some familiarity with Power BI or other BI reporting and visualization tools
- Strong communication/collaboration skills to work effectively in cross-functional teams
- Knowledge of best practices and IT operations in an always-up, always-available service
- Ability to prioritize tasks, work on multiple projects simultaneously and meet deadlines
About AriensCo
Since 1933, the AriensCo name has been associated with reliable, durably crafted, high-performance outdoor power equipment. Our core values – Be Honest, Be Fair, Respect the Individual, Keep our Commitments, and Encourage Intellectual Curiosity define our culture and inspire our team. We believe passionate people and astounded customers lead to unstoppable success.
Our employees’ quality of life is important to us. When people feel appreciated, respected and supported, careers thrive and ideas come to fruition. AriensCo employees are provided various great benefit opportunities which may include:
- Medical, Dental, Vision Insurance effective first day of employment
- Onsite health clinic with Bellin Health
- Life Insurance
- 401(k) and profit-sharing plans
- Bonus Programs
- Accident and Critical Illness Insurance
- Paid vacation, holidays and leave programs
- Flexible spending account (FSA) plan
- Voluntary wellness programs
- Employee Product discount program
- Employee Assistance Program
- Gym discount membership program
- Tuition Reimbursement
- Safety shoes and safety prescription glasses reimbursement
- Apprenticeship opportunities
- Cross-training and job rotation opportunities
- Career paths
- Ongoing development through the Ariens Academy
- Kaizen Events - continuous improvement
- Ability to win products
- Daycare facility in Brillion, WI
EEO Statement
The concept of diversity is important to us at AriensCo. That’s why we’ve created a culture that is inclusive, accepting and understanding. We embrace diversity among our partners, suppliers and employees. We also strive for diversity in the quality of our ideas. Inclusion and acceptance means that, regardless of who you are, you will always be standing on our welcome mat.
AriensCo is an equal opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law. AriensCo hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
Providing our employees with an environment free of discrimination and harassment is something we take very seriously. Embracing diversity enables us to attract the best talent, foster productive teamwork, and expand our business opportunities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data analysis Data governance Data pipelines Data quality Data warehouse Data Warehousing Engineering ETL GCP Google Cloud Informatica Java Machine Learning ML models NoSQL Pipelines Power BI Python PyTorch R Scikit-learn Security SQL Talend TensorFlow
Perks/benefits: Career development Fitness / gym Flexible spending account Flex vacation Health care Insurance Medical leave Salary bonus Startup environment Team events Wellness
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