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Data Scientist - Palantir; GenAI MLOps Engineer

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Inizio Partners Corp
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
  • Engineering
    AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist - Palantir (GenAI MLOps Engineer)

Job Openings Data Scientist - Palantir (GenAI MLOps Engineer)

About the job Data Scientist - Palantir (GenAI MLOps Engineer)
  • Job Title:
    Data Scientist Palantir (
    GenAI MLOps Engineer)
  • Location:
    Jersey City, NJ (onsite)
  • Experience: 15+ years
  • NOTE:

    - Candidate must be ready to join onsite from day 1 at Jersey City office if selected.

Required Skills and Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, or a related field.
  • Strong hands‑on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis.
  • Proven experience in MLOps or similar roles involving machine learning and cloud operations.
  • Strong knowledge of AWS services (e.g.,
    Sage Maker
    , Lambda
    , EC2
    , S3
    , Redshift
    , Glue
    , Kinesis
    ).
  • Proficiency in programming languages such as Python
    , SQL
    , and bash for data manipulation and automation.
  • Experience with machine learning frameworks and tools like Tensor Flow
    , Py Torch ,
    Scikit-learn
    , MLflow
    , and Kubeflow
    .
  • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
    .
  • Solid understanding of CI/CD pipelines and tools like Jenkins
    , Git Lab
    , or Git Hub Actions
    .
  • Strong problem‑solving skills with the ability to troubleshoot and debug complex systems.
  • Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly.

Preferred Qualifications:

  • Advanced degree (Master's or Ph.D.) in a relevant field.
  • AWS Certified Solutions Architect or Certified Machine Learning Specialty certification.
  • Familiarity with Dev Ops practices and tools.
  • Experience with real‑time data streaming and event‑driven architectures
    .
  • Knowledge of big data technologies like Hadoop
    , Spark
    , and Flink
    .
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