Sr. AI Data Engineer

Looking for the opportunity to work on problems that matter, with colleagues that share your interest and expertise in AI and Machine Learning?  

Leidos is looking for a Senior Software Engineer to apply their expertise to help Leidos research, develop, and commercialize technologies enabling data processing at scale for AI consumption. Specific areas of R&D include Data engineering, Data processing, anomaly detection and Data quality management.

We are looking for someone who is intellectually adaptive, likes to collaborate, inquisitive and goal oriented .  You will work alongside junior and senior research/data scientists and data engineers with expertise in information retrieval, UI development, information science, machine learning and artificial intelligence, and statistics.

Primary Responsibilities.

• Work with a team of data scientists and data engineers on defining and creating scalable data processing pipelines to generate quality data for use by AI.
• Design and implement data access controls to produce a data transformation pipeline that discovers, repairs, logs, and deploys quality data plus security policy metadata
• Analyze data provided to detect anomalies 
• Work with a team to design, build, train, and evaluate machine learning models 
• Communicate results and methods for solutions to internal and external stakeholders. 
• Work within teams of AI/ML researchers and engineers using Agile development processes 

Basic Qualifications.

• Bachelor's degree in Computer Science, Data Science or related field and 12+  years of relevant experience, Masters with 10+ years experience, or PhD with 6+ years experience.
• Strong Python programming fundamentals 
• Experience with data repositories and ETL
• Good understanding of machine learning algorithms, tools and platforms
• Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas)
• Experience with tabular data analysis using languages such as SQL, R, and/or Python 
• Experience with statistical modeling and data analysis
• Understanding of transformers and foundation models
• Self-starter with high intellectual curiosity
• Great communication skills, able to explain model results to a non-technical audience
• Proficient in data exploration techniques and tools such as Amazon Web Services (AWS)

Preferred Qualifications.

• Experience with data visualization libraries such as Plotly, Streamlit, and matplotlib. 
• Experience with MLOps tools and frameworks, such as Kubeflow, MLflow, DVC, TensorBoard
• Experience with building LLM and other Generative AI applications. 
• Willing to learn new skills and platforms to support data analytics. 
• Ability and willingness to obtain a Top Secret security clearance 

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.