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Data Scientist - Palantir (GenAI MLOps Engineer)

Inizio Partners
Jersey, NJ Contractor
POSTED ON 4/16/2025 CLOSED ON 4/21/2025

What are the responsibilities and job description for the Data Scientist - Palantir (GenAI MLOps Engineer) position at Inizio Partners?

  • Job Title: Data Scientist - Palantir (GenAI MLOps Engineer)
  • Location: Jersey City, NJ (onsite)
  • Type: Contract (1099 / C2C)
  • Experience Required: 15 Years (Client is looking for a senior resource who has atleast 15 years of total experience in traditional Data Science/Data Engineering with recent experience in Palantir Foundry, MLOps etc.
  • 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., SageMaker, 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 TensorFlow, PyTorch, 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, GitLab, or GitHub 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 DevOps 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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