Data Scientist

Inizio Partners Corp

  • Jersey City, New Jersey
  • 30+ days ago

    Highlights

    Experience with machine learning frameworks and tools like TensorFlow , PyTorch , Scikit-learn , MLflow , and Kubeflow . Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, or a related field.

    Numbers & Facts

    LocationJersey City, New Jersey
    Websitehttps://www.iniziopartners.com

    Description

    • 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., 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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