Inizio Partners
Data Scientist - Palantir (GenAI MLOps Engineer)
Inizio Partners, Jersey City, New Jersey, United States, 07390
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.,
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 .
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 .