Data Scientist - Palantir (GenAI MLOps Engineer)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist - Palantir (GenAI MLOps Engineer) in Jersey City, NJ, on a 1099/C2C contract. Requires 15+ years of experience, strong Palantir Foundry and MLOps skills, and proficiency in AWS, Python, and machine learning frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 17, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
1099 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Jersey City, NJ
🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Bash #Data Manipulation #Kubernetes #DevOps #GitHub #Automation #MLflow #Programming #Data Integration #Spark (Apache Spark) #AWS (Amazon Web Services) #Docker #Hadoop #TensorFlow #Data Science #S3 (Amazon Simple Storage Service) #Data Engineering #ML (Machine Learning) #Computer Science #SageMaker #Cloud #Palantir Foundry #"ETL (Extract #Transform #Load)" #Big Data #PyTorch #EC2 #Jenkins #Lambda (AWS Lambda) #Redshift #GitLab
Role description

   • 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.