ML Engineering Consultant
About the role
Design scalable machine learning infrastructure, implement CI/CD pipelines for model deployment, monitor models in production, develop generative AI solutions, ensure security and compliance, preprocess and analyze datasets, develop and fine-tune ML models to optimize for performance, and communicate results to stakeholders.
Responsibilities
- Design scalable machine learning infrastructure
- Implement CI/CD pipelines for model deployment
- Maintain and monitor models in production
- Develop Generative AI solutions
- Ensure security and compliance
- Preprocess and analyze datasets
- Develop and fine-tune ML models to optimize for performance
- Communicate results to stakeholders
Requirements
- Exhibit strong software engineering principles
- Utilize proficiency in cloud architecture (AWS, Azure, GCP)
- Familiarity with CI/CD and DevOps
- Expertise in data preprocessing and ML techniques
- Experience with model evaluation and libraries like TensorFlow, PyTorch
- Proven experience in ML engineering
- Strong programming skills (Python, R)
- Cloud services and infrastructure knowledge
- Agile methodologies understanding
Qualifications
- Exhibit strong software engineering principles
- Utilize proficiency in cloud architecture (AWS, Azure, GCP)
- Familiarity with CI/CD and DevOps
- Expertise in data preprocessing and ML techniques
- Experience with model evaluation and libraries like TensorFlow, PyTorch
- Proven experience in ML engineering
- Strong programming skills (Python, R)
- Cloud services and infrastructure knowledge
- Agile methodologies understanding
Skills
- Software Engineering Principles
- Cloud Architecture (AWS, Azure, GCP)
- CI/CD and DevOps
- Data Preprocessing and ML Techniques
- Model Evaluation and Libraries (TensorFlow, PyTorch)
- ML Engineering Experience
- Programming Skills (Python, R)
- Cloud Services and Infrastructure Knowledge
- Agile Methodologies Understanding
Benefits
- Medical Insurance Plans
- Dental Insurance Plans
- Vision Insurance Plans
- Short-term Disability
- Long-term Disability
- Life Insurance
- Connectivity Stipend
- Employee Assistance Program
- 401(k) Plan
- Flexible Savings Accounts
- Paid Parental Leave
- Eight Paid Holidays
- Professional Development Benefits
- Impact to 11 Matching Program
Pay
Compensation at Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets.
Schedule
Full-time employees are expected to work a standard 40-hour workweek. The role may require occasional travel to client locations, depending on project needs.