Data Engineer -AI & ML

Hybrid in New York, NY, US • Posted 17 hours ago • Updated 17 hours ago
Contract W2
12 Months
No Travel Required
Hybrid
$63 - $65/hr
Fitment

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Job Details

Skills

  • Amazon Web Services
  • Advanced Analytics
  • Artificial Intelligence
  • Apache Spark
  • Data Governance
  • Data Architecture
  • Databricks
  • Data Warehouse
  • Data Engineering
  • Data Processing
  • Generative Artificial Intelligence (AI)
  • SQL
  • Python
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)

Summary

The following requirement is open with our client.

Title                                      : Data Engineer -AI & ML Platforms (W2)

Location                              : New York City, NY (Hybrid – 3 days/week onsite)

Duration                              : 12+ Months

Relevant Experience (in Yrs.): 10+

Rate:                                       $65/hr on W2


Job Description:

  • We are seeking an experienced Data Engineer – AI Platform Architect to design, build, and optimize scalable data and AI platforms that support advanced analytics, machine learning, and generative AI solutions. The ideal candidate will have expertise in data engineering, cloud platforms, AI/ML architectures, and enterprise-scale data solutions.
  • Key Responsibilities
  • Design and architect scalable AI and data platforms to support analytics, machine learning, and GenAI use cases.
  • Develop and maintain robust data pipelines, ETL/ELT processes, and data integration frameworks.
  • Build and manage data lakes, data warehouses, and real-time streaming solutions.
  • Collaborate with data scientists, ML engineers, and business stakeholders to deploy AI/ML models into production.
  • Define data governance, security, privacy, and compliance standards.
  • Optimize platform performance, scalability, reliability, and cost efficiency.
  • Architect cloud-native solutions using Azure, AWS, or Google Cloud Platform.
  • Implement MLOps and DataOps best practices.
  • Evaluate and integrate emerging AI technologies and tools.
  • Required Skills
  • Strong experience in Data Engineering and Data Architecture.
  • Expertise in Python, SQL, Spark, Databricks, and data processing frameworks.
  • Experience with cloud platforms (Azure, AWS, or Google Cloud Platform).
  • Knowledge of data lakes, data warehouses, and big data technologies.
  • Hands-on experience with Machine Learning, Generative AI, and MLOps.
  • Experience with orchestration tools such as Airflow, Azure Data Factory, or similar.
  • Understanding of APIs, microservices, and containerization technologies (Docker, Kubernetes).
  • Strong knowledge of data governance and security principles.
  • Skills: Network Routing(WAN Technology)~Network Switching(LAN Technology)~Project Management
  • Experience Required: 8-10

Must Have Skills:

  • AI & ML
  • Python
  • SQL
  • Databricks
  • Spark
  • MLOps

Thanks and Regards,

Grace

Technical Recruiter |ASCII Group LLC.

Email:  |Direct:

38345 W. 10 Mile Rd, Ste.#365; Farmington, MI 48335

 

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.
  • Dice Id: 10117479
  • Position Id: 9018392
  • Posted 17 hours ago
Contact the job poster
Arun Potula

Arun Potula

IT Recruiter @ ASCII Group LLC
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