Capgemini Government Solutions (CGS) LLC is seeking an AI Developer to custom-develop or leverage AI/ML-enabled applications for various use cases like GenAI, optical character recognition, automation, predictive modeling, pattern analysis, and fraud detection to help the U.S. Public Sector address critical national and global challenges.
Requirements
- Designing and developing data models and algorithms for multi-objective optimization and decision making
- Building and deploying predictive and prescriptive analytics
- Conducting hypothesis testing, statistical and probability analyses
- Applying appropriate methods to describe statistical relationships between variables
- Performing multiple correspondence analysis (MCA), principal component analysis (PCA, and association rule mining
- Experience using tools such as Databricks; Azure’s Machine Learning and AI Services; AWS’s SageMaker and Bedrock
- Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java
- Experience using libraries and frameworks such as TensorFlow, PyTorch, mpi4py, Spark ML/MLlib, Jupyter, h2o, keras, or mir
- Experience collecting in managing large data sets in cloud-based databases, data lakes, and data warehouses such as Oracle EDW, SQL Server, or MS Access
- Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases
- Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka
- Experience working in an IT project team following SDLC and DevOps methodologies
Responsibilities
- Provide subject matter expertise in matters of data science, machine learning, and artificial intelligence to an entrepreneurial and high performing team
- Collaborate with internal and external stakeholders to GenAI, OCR, automation, predictive modeling, pattern analysis, NLP, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence
- Drive data science, ML, and AI-related solutions based on evaluation of requirements, resources, and alternatives
- Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models
- Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems
- Deploy data science and AI/ML solutions and develop methodologies to scale up
- Present and articulate findings and present solutions to clients and team members
Other
- U.S. Citizenship is required
- Eligible to obtain and maintain a Government Security Clearance
- Bachelor’s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred
- Minimum of two (2) years of professional experience (relevant advanced degrees may substitute equivalent number of years) with AI/ML, data science, or deep learning delivery responsibilities
- Ability to multi-task and stay flexible in a dynamic work environment
