Engineer, Senior AI (IT Python and AI programming (Expert) III

Engineer, Senior AI (IT Python and AI programming (Expert) III

Summary

CIO Architecture, Strategy & Innovation (CASI) is responsible to assist Vice President of Information Technology (IT) design, develop, maintain, support, and translate corporate business vision and strategy along with stakeholder input into objectives for building, enhancing, or replacing business and IT systems capabilities, together with an implementation of a comprehensive IT roadmap, all-the-while maintaining resilience to change as a key architectural and strategy objective for the enterprise.

To support the Customer mission, projects, and system requirements, the Customer requires sophisticated information technology systems support services by experienced professionals. The CASI team demonstrates leadership by evaluating and driving implementation of innovative solutions for technology infrastructure and application architecture.

Description

Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn.

Duties and Responsibilities

• Chosen resource must demonstrate these capabilities through actual work experience not merely training : Practical Application of Core Python Concepts :

Not just knowing Python syntax but demonstrating a track record of building and deploying Python applications or scripts that address IT operational needs, automate processes, or handle data management. Data Engineering and Analysis Skills :

Demonstrable experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets. Implementing and Deploying Cloud Applications :

Experience deploying python applications in cloud service production environments (, AWS, Azure, GCP), potentially leveraging containerization tools (, Docker, Kubernetes). Understanding of Software Engineering Best Practices :

Experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using continuous integration / continuous deployment (CI / CD) pipelines. Knowledge of Data Science Best Practices :

Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models. Familiarity with Cloud-based Data Science Services :

Proficiency using managed AI / ML services provided by cloud platforms to streamline development, deployment, and management of data science applications. Ethical Practices and Security Knowledge :

A demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions. Typically performs all functional duties independently.

Tasks – might include (neither exhaustive nor restrictive) :

Education :

A minimum of eight (8) to twelve (12) years' relevant experience.

o A degree from an accredited College / University in the applicable field of services is required. If the individual's degree is not in the applicable field then four (4) additional years of related experience is required.

o Note : Special credentials (licenses and / or certifications) may be required at the Task Order level on a case-specific basis.

Additional Provisions