Job Description

Nakupuna Solutions is seeking an AI/ML Engineer with strong experience delivering end-to-end machine learning systems in Palantir Foundry. This role is responsible for designing, building, deploying, and operating AI/ML solutions in production environments. The AI/ML Engineer works closely with data scientists, data engineers, and business stakeholders to ensure models are scalable, reliable, and aligned with organizational goals, turning advanced analytics into operational capabilities that deliver measurable impact.

Responsibilities

The following reflects management’s definition of essential functions for this job but does not restrict the tasks that may be assigned.

• Lead full lifecycle AI/ML system development in Palantir Foundry, including data pipeline integration, feature engineering, model implementation, deployment, and production monitoring
• Design, develop, and optimize machine learning models and algorithms for performance, scalability, and reliability
• Collaborate with data scientists and engineers to transition models from research and experimentation into production systems
• Build and maintain model deployment, versioning, and monitoring workflows
• Integrate AI/ML solutions into existing platforms and business processes
• Evaluate and apply emerging AI/ML technologies where they provide clear business value
• Ensure robustness, maintainability, and performance of deployed AI/ML systems in operational environments

Qualifications

Skills/Qualifications:

• 5+ years of hands-on experience building, deploying, and maintaining AI/ML systems end-to-end in production environments
• Proficiency in programming languages such as Python, R, or Java
• Expertise in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras)
• Experience delivering AI/ML solutions in Palantir Foundry (e.g., Code Workbooks, Code Authoring, pipelines, model operationalization)
• Strong understanding of machine learning techniques, including supervised and unsupervised learning and deep learning approaches
• Experience with model deployment, monitoring, and MLOps tooling (e.g., Docker, Kubernetes, MLflow or similar)
• Experience working with large-scale data systems and cloud or hybrid environments
• Strong analytical and problem-solving skills, with the ability to work with complex systems and datasets
• Excellent communication skills to explain technical concepts to non-technical stakeholders and collaborate across teams

Education/Experience:

• 5+ years of hands-on experience delivering AI/ML solutions end-to-end in production environments, including data ingestion, feature engineering, model development, deployment, and ongoing monitoring
• 3+ years of practical experience building and operationalizing AI/ML systems in Palantir Foundry (e.g., Code Workbooks, Code Authoring, pipelines, model operationalization)
• Advanced degree in Artificial Intelligence, Machine Learning, Data Science, or related fields

Clearance Requirements: Must be a U.S. Citizen. Secret clearance required.

Physical Requirements: The ideal candidate must at a minimum be able to meet the following physical requirements of the job with or without a reasonable accommodation:

• Ability to perform repetitive motions with the hands, wrists, and fingers.
• Ability to engage in and follow audible communications in emergency situations.
• Ability to sit for prolonged periods at a desk and working on a computer.

The Nakupuna Companies use a market-based compensation strategy to ensure that our employees are compensated within applicable market ranges commensurate with multiple factors, including but not limited to the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, organizational requirements, and position location. The projected compensation range for this position is $170,000.00 to $210,000.00 (annualized USD). The salary range displayed represents the typical salary range for this position and is just one component of Nakupuna Companies total compensation package for employees.