Founding Lead AI Engineer - ResiQuant
Pear VCSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Industrial Automation, ManufacturingIndustries
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- 5+ years of experience developing and deploying AI/ML models in production environments
- Hands-on experience with frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML)
- Strong programming skills in Python, R, Java, or similar languages
- Solid understanding of data structures, algorithms, and software engineering principles
- Exposure to cross-functional collaboration and delivering AI solutions that support business outcomes
- Preferred
- Experience deploying AI models on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud setups
- Familiarity with MLOps practices for continuous integration, deployment, and monitoring
- Ability to translate business requirements into scalable technical solutions
- Interest in mentoring and growing within AI or data science teams
Responsibilities
- Develop AI Solutions: Build and implement AI models and pipelines that integrate with existing IT and data infrastructure, ensuring performance, scalability, and maintainability
- Collaborate Across Teams: Work with data scientists, engineers, and business teams throughout the AI solution lifecycle—from ideation and prototyping to deployment and monitoring
- Technology Evaluation: Explore and recommend AI/ML frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, cloud AI services) that align with project goals and technical feasibility
- Follow Best Practices: Apply standards for model development, testing, deployment, and lifecycle management, with a focus on ethical AI and data privacy compliance
- Support and Learn: Receive mentorship from senior AI leaders while contributing to the organization's AI strategy and adoption
Skills
AI Models
ML Pipelines
TensorFlow
PyTorch
Cloud AI Services
Model Deployment
Data Infrastructure
Scalability
Ethical AI
Data Privacy
Rockwell Automation
Industrial automation and information technology solutions
About Rockwell Automation
Rockwell Automation provides hardware, software, and services aimed at improving operational efficiency and sustainability in various industries, including manufacturing and food and beverage. Their products work by integrating advanced technology to streamline processes, enhance reliability, and reduce operational costs. This includes alarm notification software, cybersecurity solutions, and computerized maintenance management systems. What sets Rockwell Automation apart from competitors is their strong emphasis on sustainability and tailored solutions for specific industry needs, helping clients meet environmental standards and improve productivity. The company's goal is to drive better outcomes for clients through technological innovation and comprehensive support.
Milwaukee, WisconsinHeadquarters
1903Year Founded
$39.1MTotal Funding
IPOCompany Stage
Industrial & Manufacturing, Enterprise Software, CybersecurityIndustries
10,001+Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Holidays
Paid Time off
Parental Leave
Caregiver Leave
Flexible Work Hours
Risks
Emerging AI-driven automation companies threaten Rockwell's market share with competitive solutions.
Rapid AI advancements may outpace Rockwell's offerings, requiring significant R&D investment.
Supply chain vulnerabilities, especially in semiconductors, could disrupt Rockwell's production schedules.
Differentiation
Rockwell Automation integrates cutting-edge technology to enhance operational efficiency and sustainability.
The company offers tailored solutions for diverse industries, including manufacturing and food and beverage.
Rockwell Automation emphasizes sustainability, helping clients meet environmental standards and consumer demands.
Upsides
Increased adoption of AI-driven predictive maintenance aligns with Rockwell's focus on operational efficiency.
The rise of Industry 4.0 technologies drives demand for Rockwell's integrated automation solutions.
Growing digital twin technology market offers expansion opportunities for Rockwell's software offerings.
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