Python AI/ML Engineer

Secunetics is a leader in IT infrastructure assessment, design, and optimization. We are a focused team of enthusiastic colleagues working together on a diverse and challenging set of projects. We are looking to grow our team and are seeking a Python AI/ML Data Engineer to work on a range of projects involving data ingestion, transformation, and management to support AI-powered solutions. We value creative, strategic thinkers with demonstrated interest and skills in data engineering, software development, and AI/ML related fields. United States citizens and those authorized to work in the United States are encouraged to apply.

Who you are:

• You are clearable to the Top Secret level
• You are passionate and curious about technology and AI.
• You have experience with the full software/data development lifecycle
• You are committed to working with a like-minded team to learn and grow in your field of expertise
• You have an eye for detail and consistency
• You have strong communication skills (listening, verbal, and written)
• You think creatively and enjoy working in a collaborative environment
• You enjoy interacting with clients to satisfy their goals and objectives

We are looking for a team member with 2+ years of relevant professional experience in the following:

• Deploying and managing data pipeline and workflow orchestration tools such as Apache Airflow, Dagster, or Prefect
• Developing ETL/ELT pipelines with common data engineering technologies such as dbt and parquet
• Designing and maintaining databases, data warehouses, and/or data lakes
• Developing scalable applications using Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) technologies and libraries, including large language models (LLMs)
• Developing Python-based data analysis and transformation with Python libraries such as NumPy, pandas, DuckDB, scikit-learn, TensorFlow, and PyTorch
• Developing and consuming RESTful APIs
• Developing automated unit tests and end-to-end tests
• Applying data security best practices
• Applying excellent problem-solving skills with the ability to analyze situations, identify potential problems, and recommend solutions

Additional preference is given for the following:

• Experience developing applications for cloud-based platforms, such as Google Cloud Platform (Google Cloud Platform) or Amazon Web Services (AWS), especially with AI/ML services.
• Exposure to networking and security concepts and technologies
• Experience with containerization (e.g., Docker) and container orchestration with Kubernetes
• Familiarity with enterprise management and performance engineering concepts
• Active US Secret or Top Secret clearance
• Undergraduate or graduate degree in Computer Science or a related field.
• Experience with web UI/UX design and development with React and JavaScript