

Data Engineer, AI/ML
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer, AI/ML, on a 6+ month contract (remote, U.S.) with a pay rate of $90-$92/hour. Requires 4-8 years of data engineering and machine learning experience, proficiency in Python, and expertise in cloud-based data platforms.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
736
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ποΈ - Date discovered
August 2, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#BI (Business Intelligence) #Consulting #SQL (Structured Query Language) #Logistic Regression #Data Lake #Data Warehouse #SSRS (SQL Server Reporting Services) #AI (Artificial Intelligence) #REST (Representational State Transfer) #Regression #BigQuery #Business Analysis #SaaS (Software as a Service) #DAX #GCP (Google Cloud Platform) #Data Architecture #Data Pipeline #SSIS (SQL Server Integration Services) #Python #Scala #"ETL (Extract #Transform #Load)" #Visualization #SSAS (SQL Server Analysis Services) #Cloud #Data Engineering #R #REST API #Data Science #Microsoft Power BI #SharePoint #Datasets #Linear Regression #ML (Machine Learning) #Bash #Leadership #MySQL #JSON (JavaScript Object Notation) #Snowflake #Data Management
Role description
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Immediate need for a talented Data Engineer, AI/ML. This is a 06+ Months Contract opportunity with long-term potential and is located in U.S.(Remote). Please review the job description below and contact me ASAP if you are interested.
Job ID:25-79195
Pay Range: $90 - $92/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision).
Key Responsibilities:
β’ As a Data Engineer - AI/ML , you will be responsible for innovation, design and implementation of modern data landscape.
β’ This involves establishing process, principles, design, implementation and management of enterprise data platforms, analytical platforms, AI/ML platforms, Martech platforms and Lakehouse platforms including building out data engineering delivery principles and standards involved.
β’ Engaging Product, Enterprise Architecture, and other Technology teams, evaluating architecture and solutions for all things data.
β’ Reporting to the leadership for Data Engineering and Data Platform, you will work closely with other team members like data architects and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models.
β’ You will be also responsible for building and maintaining the data platform.
β’ This hands-on technical role demands excellent knowledge and can demonstrate the best practices in the industry.
β’ Design, architect, implement and maintain data platforms that encompass the entire lifecycle of data in process, data in motion and data at rest using GCP and relevant technologies
β’ Build out customer data platform and martech platform that delivers marketing and personalization
β’ Create, monitor and maintain business critical integration services/ETL jobs such as order processing, notifications, report deliveries, invoicing, fraud reporting, and order updates
β’ Build data pipelines to ingest data from multiple sources, designing scalable, efficient, reliable and secure DWH, and data lakes
β’ Collaborate with Data Scientists, Product Owners and Software Developers to translate business requirements into analytics and machine learning algorithms
β’ Develop, train and test alternative machine learning algorithms for specific tasks and projects
β’ Assess performance and prediction accuracy of the models on the train and test datasets
β’ Integrate machine learning models into applications e.g. via new or existing end points
β’ Develop, integrate and maintain ML pipelines working closely with infra engineers
β’ Perform other duties as may be assigned by data management and report progress regularly
Key Requirements and Technology Experience:
β’ 4-8 years of data engineering and machine learning experience in an externally facing, high[1]transaction, high-volume business environment
β’ Hands-on experience with Python (preferred), R, M, Bash or equivalent languages
β’ Experience working with different data sources e.g. MS Cloud SQL, Postgress, MySQL, Json, Snowflake, SharePoint, GCP Buckets, REST APIs, to name a few
β’ Experience with data modelling, ETL and advance level visualization through MSDT/BI (SSAS, SSIS, SSRS) stack as well as Power BI
β’ Experience with DAX and Mashup, date dimensions, measures, hierarchy and granularity
β’ Experience implementing models such as pca, t-sne, knn, linear regression, logistic regression, decision trees, random forest, ann, and ranknet or equivalent (preferred)
β’ Experience with martech/finance domain, search engine (Solr LTR) optimization and recommendation engine algorithm preferred
β’ Experience with eda, bi-variate and uni-variate analyses, imputations, histograms, box plots, scatter plots, heat-maps, and other visualization techniques (Python preferred)
β’ Experience with designing and implementing cloud based and SaaS data warehouse (e.g. BigQuery, SSAS Cubes, Snowflake) and developing ETL/ELT pipelines
β’ Experience working in a high-paced environment, being self-driven, and working independently
Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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