| AI ML Data engineer ll Weehawken, NJ (Local Candidate) at Weehawken, New Jersey, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2001533&uid= From: Minu, infotechspectrum [email protected] Reply to: [email protected] Job Title:: AI ML Data engineer Location:: Weehawken, NJ (Local Candidate) Duration:: 12+ Months (USC Only) Roles and responsibilities: Building and maintaining data pipelines for AI and machine learning models Developing and managing data architectures that support AI workflows Integrating and preparing large-scale datasets for AI and ML model training. AI data engineers are responsible for delivering data thats clean, structured, accurate, and reliable for AI. AI data engineers are the developers and managers of the AI data pipeline, its their responsibility to ensure the data thats flowing through those pipelines is trustworthy and accurate. Collaborating with Data Scientists. i.e. AI data engineers should support to enable data scientists by providing the pipeline infrastructure they need to train, test, and deploy AI models efficiently Building data pipelines and infrastructure that support real-time data for AI-powered insights and applications Managing and preparing Large, Unstructured Data Ensuring Data Pipeline Reliability and responsible for demystifying the challenges that come with scaling data pipelines for AI workloads Technology AI data engineers should be proficient in NoSQL and SQL databases as well for unstructured data management. In addition, AI data engineers should be familiar with programming languages such as Python , Databricks, Scala, and more for data pipeline, data lineage, and AI model development. AI and ML tools , include several tools and frameworks for developing and deploying AI models, including TensorFlow, PyTorch, Keras Data engineers need to be comfortable using essential tools for data pipeline management and workflow orchestration, including Apache Kafka, Apache Spark Familiar with data warehouses, data lakes, and data lakehouses concepts and knowledge on any No sql DB AI data engineers should have a solid understanding of and familiarity with data observability tools, like Monte Carlo, to ensure the quality and accuracy of the pipelines and outputs of your AI and ML models Best Regards, Minu Roy Sr. Technical Recruiter || InfoTech Spectrum Inc. Email : [email protected] || Web: www.infotechspectrum.com 2060, Walsh Ave, #120, Santa Clara, CA 95050 Keywords: artificial intelligence machine learning database information technology California New Jersey AI ML Data engineer ll Weehawken, NJ (Local Candidate) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2001533&uid= |
| [email protected] View All |
| 01:02 AM 11-Dec-24 |