Akkodis

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Robotics Data Engineer in Warren, MI, on a 22+ month contract, paying $45-$50/hr. Requires 3+ years in data engineering or robotics, a Master's degree, and strong Python skills. Experience with AI systems and multimodal datasets preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
400
-
πŸ—“οΈ - Date
February 5, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Yes
-
πŸ“ - Location detailed
Warren, MI
-
🧠 - Skills detailed
#Supervised Learning #Microsoft Power BI #Data Pipeline #Metadata #Scala #TensorFlow #PyTorch #Data Engineering #Regression #ML (Machine Learning) #Data Quality #BI (Business Intelligence) #AI (Artificial Intelligence) #Python #Data Science #Security #Azure #Datasets #Computer Science
Role description
Akkodis is seeking an Senior Robotics Data Engineer for our Contract Position role with our client in Warren MI Pay Range: $45/hr. to $50/hr. on w2. (The pay may be negotiable based on experience, education, geographic location, and other factors.) Role: Senior Robotics Data Engineer Location: Warren, MI Job Type: Contract (22+ Months) The Role We are seeking a Senior Robotics Data Engineer to join the Autonomous Robotics Center (ARC) Advanced Development team. This role is foundational to large-scale robotics initiative, enabling generalized and scalable AI perception and grasping solutions across thousands of manufacturing parts. You will architect and work on end-to-end robotic data systems, spanning real-world capture, simulation-generated data, annotation, curation, and lifecycle management. Your work will directly power perception, grasping, and manipulation AI models, enabling rapid scaling across diverse part geometries and manufacturing contexts. What You Will Do β€’ Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque). β€’ Build infrastructure to support high-throughput data capture from real robots and simulation environments. β€’ Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost. β€’ Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation. β€’ Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing. β€’ Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs. β€’ Establish data quality metrics that directly correlate with perception and grasping performance. Required Qualifications β€’ 3+ years of experience in data engineering, machine learning systems, robotics, or related fields. β€’ Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience. β€’ Proven experience building production-grade data pipelines for ML/AI systems. β€’ Strong hands-on experience with Python-based data tooling. β€’ Experience working with large, complex, multimodal datasets. β€’ Systems thinking mindset with strong cross-functional collaboration skills. Preferred Qualifications (Competitive Edge) β€’ Direct experience supporting robotics perception, grasping, or manipulation AI. β€’ Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation. β€’ Experience with data labeling tools and annotation workflows at scale. β€’ Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective. β€’ Experience with Microsoft data ecosystems (e.g., Power BI, Azure data services). β€’ β€’ Exposure to self-supervised or weakly supervised learning techniques. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ashish.kumar1@akkodisgroup.com or 610-979-9175 Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: Β· The California Fair Chance Act Β· Los Angeles City Fair Chance Ordinance Β· Los Angeles County Fair Chance Ordinance for Employers β€’ Β· San Francisco Fair Chance Ordinance