Capgemini Government Solutions (CGS) LLC is seeking an AI Developer to custom-develop or leverage AI/ML-enabled applications for GenAI, optical character recognition, automation, predictive modeling, pattern analysis, and fraud detection to help 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
