The AI/ML Engineer is tasked with creating, implementing, and refining machine learning and generative artificial intelligence solutions.
Responsibilities
Architect, engineer, and launch machine learning models tailored for business intelligence, market forecasting, classification, recommendation engines, and other strategic applications.
Industrialize AI models that transform diverse African data sources into actionable business insights.
Construct predictive and analytical frameworks covering sectors such as economics, financial markets, industries, corporate entities, and consumer trends.
Assess various machine learning methodologies to select optimal models based on metrics including accuracy, scalability, cost-efficiency, and business impact.
Track model performance metrics and iterate on algorithms to enhance accuracy as new data streams become available.
Lead complex data exploration and analytics projects for national security clients, applying advanced AI and machine learning methodologies to inform policy decisions.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Responsibilities
Lead complex data exploration and analytics projects
Apply AI and machine learning methodologies to real-world policy decisions
Develop and apply statistical models and methods
Operationalize models and data architecture
Containerize applications
Requirements
Bachelor’s degree in mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing
Provide programming and analytical support for interdisciplinary projects using large-scale human datasets and genomics data within the Gerontology Bioinformatics Core.
Compensation
The hourly rate range for this position is $38.98-$43.53.
Responsibilities
Develop and document robust computational workflows, testing procedures, and production pipelines that support multi-omics analyses
Develop datasets, create tables, perform analyses, and otherwise participate in the production of publications in collaboration with other researchers
Give online and in-person technical demonstrations
Develop and run workflows using command line and high-performance computing clusters
Supports continuous improvements by maintaining currency with new technologies and leveraging the latest industry knowledge to continually develop skills, knowledge, and abilities
Requirements
Master's degree
MA/MS degree in Epidemiology, Biostatistics, quantitative social science, molecular genetics, or a related field
Lead complex data exploration and analytics projects for national security clients, applying advanced AI and machine learning methodologies to inform policy decisions.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Responsibilities
Lead complex data exploration and analytics projects
Apply statistical models and methods to evaluate data
Operationalize models and containerize solutions
Design data architecture and cloud computing platforms
Present findings to clients and stakeholders
Requirements
Bachelor’s degree
Nice to have: TEVV procedures
Nice to have: multi-INT analytics
Nice to have: evaluating AI system performance, robustness, and fairness
Provides direction and engineering support for cloud computing infrastructure and platform development, maintenance and operation.
Compensation
The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies.
Responsibilities
Designing, developing and maintaining cloud computing infrastructure and platform following established processes and procedures.
Participating all phases of software engineering life cycle and troubleshooting technical problems as needed.
Providing guidance and technical instructions on junior level engineers on the new programming models.
Creating and modifying distributed system on cloud computing platforms to improve the operation performance.
Quantitative Analyst supporting investment research and analytics
Responsibilities
Support the development and application of quantitative frameworks that enhance fundamental investment research and decision-making
Analyze company fundamentals, financial statements, market data, and other datasets to investigate investment hypotheses and identify meaningful patterns
Conduct statistical analyses, empirical research, and backtesting to evaluate investment signals, relationships, and analytical methodologies
Collaborate with senior quantitative researchers to develop approaches for assessing business quality, valuation, earnings dynamics, and other investment characteristics
Translate analytical findings into clear, concise, and actionable insights for investment professionals
Requirements
Bachelor's or Master's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, or a related field
Provides assessment of existing solutions and infrastructure to migrate to the cloud, plans, delivers, and implements application and data migration with scalable, high-performance solutions using private and public cloud technologies.
Responsibilities
Evaluate current systems and infrastructure to determine the best approach for transitioning to cloud environments
Strategize and execute the migration of applications and data
Coordinate with stakeholders to align migration efforts with business goals
Monitor progress and address challenges during migration
Lead planning and execution of cloud migration projects
Provides assessment of existing solutions and infrastructure to migrate to the cloud, plans, delivers, and implements application and data migration with scalable, high-performance solutions using private and public cloud technologies.
Responsibilities
Evaluate current systems and infrastructure to determine the best approach for transitioning to cloud environments
Strategize and execute the migration of applications and data
Coordinate with stakeholders to align migration efforts with business goals
Monitor progress and address challenges during migration
Enable organizations to leverage private and public cloud technologies
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