Entry Level AIML Developer

Arcfield•Middletown, RI

About The Position

Conducts research in design, development, testing and utilization of electronic data processing software. Designs, develops, documents, tests and debugs applications software and systems that contain logical and mathematical solutions. Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software. Determines computer user needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls; prepares operating instructions; designs and develops compilers and assemblers, utility programs, and operating systems. Ensures software standards are met. Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints. Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces. Designs, develops and modifies software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design. Coordinates software system installations and monitors equipment functioning to ensure specifications are met. Works on assignments requiring considerable judgment and initiative. Develops solutions to routine technical problems of limited scope following detailed instructions.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or related technical field.
BS and 0-2 yers experience
Ability to obtain and maintain a Secret clearance
Strong proficiency in Python and common ML libraries (NumPy, Pandas, scikit‑learn, Matplotlib).
Familiarity with training, evaluating, and deploying ML models using supervised and/or unsupervised learning techniques.
Experience working with data preprocessing, feature engineering, and model validation.
Understanding of fundamental ML concepts such as regression, classification, clustering, overfitting, and cross‑validation.
Experience with version control systems (Git) and collaborative development workflows.
Ability to write clean, maintainable, and well‑documented code.
Strong problem‑solving skills and ability to work in a fast‑paced R&D environment.

Nice To Haves

Familiarity with deep learning frameworks (PyTorch, TensorFlow, Keras).
Experience building or fine‑tuning neural networks for computer vision, NLP, or time‑series applications.
Exposure to MLOps concepts (model tracking, reproducibility, lightweight deployment).
Experience with Kubernetes, Docker, or container‑based environments for ML workflows.
Knowledge of data pipeline tools or distributed compute environments (Apache Spark, Dask, Ray).
Experience integrating ML components into production systems or microservices.
Familiarity with DoD, Navy, or defense‑related development environments (if relevant to your program).
Understanding of responsible AI practices, model bias considerations, and basic cybersecurity fundamentals.
Strong communication skills and ability to document findings and results.

Responsibilities

Conducts research in design, development, testing and utilization of electronic data processing software.
Designs, develops, documents, tests and debugs applications software and systems that contain logical and mathematical solutions.
Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software.
Determines computer user needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls; prepares operating instructions; designs and develops compilers and assemblers, utility programs, and operating systems. Ensures software standards are met.
Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints.
Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces.
Designs, develops and modifies software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.
Coordinates software system installations and monitors equipment functioning to ensure specifications are met.
Works on assignments requiring considerable judgment and initiative.
Develops solutions to routine technical problems of limited scope following detailed instructions.