Machine Learning Artificial Intelligence Engineer (Only w2- No C2C)

Overview

On Site
$70 - $80
Contract - W2
Contract - 12 Month(s)

Skills

Apache Avro
Apache Hive
Apache Parquet
Apache Spark
Artificial Intelligence
Bash
Big Data
Cloud Computing
Cloudera
Data Science
Deep Learning
Docker
Django
Java
NoSQL
Scripting
Production Support
NumPy
Natural Language Processing
Machine Learning (ML)
RDBMS
Micro Services
Web service
development
Spring
notebooks
PyTorch
Hadoop
insurance

Job Details

Title: Machine Learning Artificial Intelligence Engineer (Only w2- No C2C)

Duration: 12+ months

Location: Pleasanton, CA

Must Haves-

  1. Strong project experience in Big Data platform with Amazon Web Services and Cloudera Data Platform is must.
  2. Strong experience with REST API development using Python frameworks (Django, Flask etc.) is must.
  3. Micro Services/Web service development experience using Spring framework is must.
  4. 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
  5. Good project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
  6. 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive.

The AI/ML Engineer shall lead the Artificial Intelligence/Machine Learning Modeling and Engineering team. The consultant will play the role of technical lead and provide professional services to support the long term IT strategy and planning to include high level analysis, professional reports and presentations, and mentoring, support and training.

  • 4+ years of hands-on Development, Deployment and production Support experience in Hadoop
  • Proficient in Big Data, SQL, relational database and NoSQL database for data retrieval and analysis.
  • Must have experience with developing Hive QL, UDF s for analyzing semi structured/structured datasets.
  • Expertise in Unix/Linux environment in writing scripts and schedule/execute jobs.
  • Experience with AWS and other cloud platforms.
  • Experience using Git and Eclipse.
  • Experience in creating and managing RESTFul API s using Python and Java frameworks.
  • Experience in Docker and Kubernetes
  • Hands-on experience ingesting and processing various file formats like Avro/Parquet/Sequence Files/Text Files etc.
  • Successful track record of building automation scripts/code using Java, Bash, Python and experience in production support issue resolution process.
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.