Machine Learning / AI Data Engineer

Overview

Remote
Hybrid
$60.00 - $75 per hour
Contract - W2
Contract - 12 Month(s)

Skills

Snowflake
Machine Learning
Salesforce
Predictive Analytics

Job Details



Position Title: Machine Learning / AI Data Engineer (W2 Contract-to-Hire - 100% Remote)


Contract Length: 12 months


Pay Rate: Up to $75/hour


Work Type: W2 only - No C2C or third-party vendors at this time


Location: 100% Remote


No C2C or third-party vendors at this time


Position Summary:


Seeking a Machine Learning / AI Data Engineer to design, develop, and implement data solutions that inform decision-making across the business. This role will be instrumental in creating predictive outcomes using historical and real-time data from Salesforce. You'll collaborate with cross-functional teams and leadership to ensure high-quality, accessible data to support advanced machine learning and AI initiatives.



Key Responsibilities:


Build and maintain a data warehouse integrated with Salesforce data


Develop and maintain ETL pipelines for data transformation and preservation


Design and deploy machine learning solutions to predict business outcomes from Salesforce data


Collaborate with leadership to align machine learning initiatives with strategic goals


Apply best practices in data governance and warehousing


Monitor and manage ML engine performance (accuracy, agility, responsiveness)


Integrate ML outputs back into Salesforce to improve operational workflows


Perform additional duties as assigned by leadership



Required Qualifications:


Bachelor's or Master's degree in Computer Science, Data Science, or related field


Strong professional experience applying machine learning and AI in a business setting


Deep experience with Snowflake


Proficient in one or more programming languages (e.g., Python, SQL)


Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and modern data architectures


Demonstrated ability to design and deploy ML tools end-to-end


Knowledge of data warehousing best practices


Excellent analytical and problem-solving skills


Comfortable working both independently and collaboratively in an agile environment



All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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