CAI
Job ID Number
R5873
Employment Type
Full time
Worksite Flexibility
Remote
Job Summary
The AI Machine Learning Engineer II, in our Data and AI Practice, will leverage their expertise to design, implement, and optimize machine learning models, ensuring they are robust, scalable, and capable of driving insights.
Job Description
We are seeking a highly skilled and experienced
AI Machine Learning Engineer II
to join our IT team. This position will be
full-time, remote,
and is a salaried position. What You'll Do Design and develop machine learning models and algorithms that enhance performance and scalability
Collaborate with cross-functional teams to understand requirements and design tailored ML solutions
Engage in hands-on coding and debugging to deliver efficient AI-driven products
Implement best practices for machine learning development, including model validation and testing
Integrate data pipelines and machine learning models into existing systems utilizing familiarity and experience with enterprise data architecture
Optimize machine learning components for maximum performance across cloud environments
Maintain technical documentation and code repositories, ensuring organized project assets
Stay updated with emerging machine learning technologies and industry trends to drive innovation and continuous improvement
Provide technical support and guidance to team members, fostering a collaborative and productive environment
Evaluate and select third-party components, frameworks, or accelerators to support ML system delivery
What You'll Need Required: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field; Master's preferred
5+ years experience in developing machine learning applications and solutions
Proficiency in programming languages such as Python, R, or similar
Experience with Databricks or Snowflake for data integration and pipeline management
Strong understanding of machine learning frameworks and data engineering
Proven track record in leading ML projects and collaborating with cross-functional teams
Excellent problem-solving skills and ability to make strategic technical decisions
Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences
Experience with version control systems such as Git
Familiarity with cloud platforms and ML services
Ability to work collaboratively in cross-functional teams and adapt to changing project requirements
Preferred: Experience with GenAI models and ML infrastructure optimization
Knowledge of data visualization tools and techniques
Understanding of advanced statistical methods and their application in AI
Experience in deploying ML models in production environments
Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
The pay range for this position is $100,000 - $120,000 annually (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit package includes medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111. Equal Employment Opportunity Policy Statement CAI is committed to equal employment opportunity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or veteran status. All employment decisions are based on valid job requirements, including hiring, promotion, and compensation. Harassment and retaliation are prohibited.
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AI Machine Learning Engineer II
to join our IT team. This position will be
full-time, remote,
and is a salaried position. What You'll Do Design and develop machine learning models and algorithms that enhance performance and scalability
Collaborate with cross-functional teams to understand requirements and design tailored ML solutions
Engage in hands-on coding and debugging to deliver efficient AI-driven products
Implement best practices for machine learning development, including model validation and testing
Integrate data pipelines and machine learning models into existing systems utilizing familiarity and experience with enterprise data architecture
Optimize machine learning components for maximum performance across cloud environments
Maintain technical documentation and code repositories, ensuring organized project assets
Stay updated with emerging machine learning technologies and industry trends to drive innovation and continuous improvement
Provide technical support and guidance to team members, fostering a collaborative and productive environment
Evaluate and select third-party components, frameworks, or accelerators to support ML system delivery
What You'll Need Required: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field; Master's preferred
5+ years experience in developing machine learning applications and solutions
Proficiency in programming languages such as Python, R, or similar
Experience with Databricks or Snowflake for data integration and pipeline management
Strong understanding of machine learning frameworks and data engineering
Proven track record in leading ML projects and collaborating with cross-functional teams
Excellent problem-solving skills and ability to make strategic technical decisions
Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences
Experience with version control systems such as Git
Familiarity with cloud platforms and ML services
Ability to work collaboratively in cross-functional teams and adapt to changing project requirements
Preferred: Experience with GenAI models and ML infrastructure optimization
Knowledge of data visualization tools and techniques
Understanding of advanced statistical methods and their application in AI
Experience in deploying ML models in production environments
Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
The pay range for this position is $100,000 - $120,000 annually (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit package includes medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111. Equal Employment Opportunity Policy Statement CAI is committed to equal employment opportunity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or veteran status. All employment decisions are based on valid job requirements, including hiring, promotion, and compensation. Harassment and retaliation are prohibited.
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