What are the responsibilities and job description for the Palantir Forge - Machine Learning Engineer position at Jobs via Dice?
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U.S. Citizenship Is Required For This Position.
An active Secret Clearance is highly preferred. Candidates without an existing clearance must be willing and eligible to undergo the clearance process.
The ideal candidate will leverage advanced analytics, machine learning, and data-driven insights to enhance operational efficiency, improve decision-making, and support the deployment of AI solutions across the organization by using Palantir platform.
Experience and/or knowledge of how to integrate and deploy ML and AI models within the Palantir platform.
Must have experience with Foundry Palentir Must have skills in LLM implementation via code / api (still python)
Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance
Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
Analyze large datasets to extract actionable insights and support strategic decision-making.
Proficiency in Python is particularly valuable for developing pipelines and custom logic within the Foundry environment
Specific familiarity with Palantir's platform is highly preferred, especially: Understanding its foundry ontology, pipeline builder, and other applications. Experience with designing and using the ontology to model and link data semantically.
Skills in building operational applications within the Forge/Foundry ecosystem, including using low-code/no-code solutions to create user interfaces and workflows
Experience with data modeling, analytics, and creating interactive dashboards to present data insights to stakeholders
U.S. Citizenship Is Required For This Position.
An active Secret Clearance is highly preferred. Candidates without an existing clearance must be willing and eligible to undergo the clearance process.
The ideal candidate will leverage advanced analytics, machine learning, and data-driven insights to enhance operational efficiency, improve decision-making, and support the deployment of AI solutions across the organization by using Palantir platform.
Experience and/or knowledge of how to integrate and deploy ML and AI models within the Palantir platform.
Must have experience with Foundry Palentir Must have skills in LLM implementation via code / api (still python)
Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance
Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
Analyze large datasets to extract actionable insights and support strategic decision-making.
Proficiency in Python is particularly valuable for developing pipelines and custom logic within the Foundry environment
Specific familiarity with Palantir's platform is highly preferred, especially: Understanding its foundry ontology, pipeline builder, and other applications. Experience with designing and using the ontology to model and link data semantically.
Skills in building operational applications within the Forge/Foundry ecosystem, including using low-code/no-code solutions to create user interfaces and workflows
Experience with data modeling, analytics, and creating interactive dashboards to present data insights to stakeholders
