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Senior Python Ai Jobs in Leesburg, VA (NOW HIRING)

Capital One

Senior Distinguished AI Engineer

Mclean, VA · On-site

$123K - $163K/yr

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI ... At least 10 years of experience programming with Python, Go, Scala, or Java Preferred ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face ...

Resource Point LLC

AI Engineer Senior

Reston, VA · On-site

$127K - $168K/yr

AI Engineer Senior Location: Reston, VA/Hybrid Duration: 6+ Months ( with possible extension ... and Python tools, including Pandas or NumPy * Experience with Large Language Models ( LLMs ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

The Senior AI Developer will work across the full stack of AI development, from data ingestion and ... Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face ...

Vantor

AI/ML Engineer (Senior)

Reston, VA · On-site

$108K - $149K/yr

The Senior AI/ML Engineer role involves designing, building, integrating, and sustaining secure ... in [Python, Java, SQL], data structures/algorithms. • Tools/tech: e.g., [AWS/GCP/Azure], [Spark ...

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$160K - $200K/yr

As an Senior AI Systems Engineer , you will play a pivotal role in shaping the customer's AI/ML ... Experience with ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python ...

Credence

Senior AI Software Engineer

Mclean, VA

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our ... Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI ...

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Senior Python Ai information

See Leesburg, VA salary details

$55.6K

$143.6K

$197.2K

How much do senior python ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior python ai in Leesburg, VA is $143,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $165,400.00 per year, depending on experience, location, and employer.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are popular job titles related to Senior Python Ai jobs in Leesburg, VA?

For Senior Python Ai jobs in Leesburg, VA, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Leesburg, VA look for?

The top searched job categories for Senior Python Ai jobs in Leesburg, VA are:

What cities near Leesburg, VA are hiring for Senior Python Ai jobs?

Cities near Leesburg, VA with the most Senior Python Ai job openings:

Senior Python Ai jobs near you

AI/ML Engineer, Senior - WFH1659

Global InfoTek Inc

Reston, VA • On-site

$150 - $200/hr

Temporary

Re-posted 17 days ago

Job description

Clearance Level: Public Trust (Secret Eligible)

US Citizenship: Required

Job Classification: 1099/Consultant

Location: Remote

Years of Experience: 5–7 years of relevant experience

Education Level: BS or MS in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.


Briefly Describe the Work:

GITI is seeking a Senior AI/ML Engineer to support an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Senior AI/ML Engineer designs, builds, and validates machine learning models for RF emitter identification, conducts hands-on exploratory data analysis on NDF (Network Description File) sensor datasets, and implements ML data pipelines that operate on constrained tactical edge hardware. Working under the direction of the Principal AI/ML Engineer and program technical lead, the candidate collaborates closely with research scientists and software engineers to translate analytical findings into reproducible, well-documented ML experiments and pipeline components. The role requires strong Python and deep learning skills, comfort with real-world noisy sensor data, and the ability to work in air-gapped Linux environments without cloud infrastructure or GPU acceleration.


Responsibilities:

  • Design, build, and validate machine learning models for RF emitter identification — including feature engineering from sensor data, training pipeline development, model evaluation, and iterative refinement based on results
  • Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks — writing and running analytical code, characterizing feature distributions, identifying data quality issues, and producing documented findings
  • Implement and maintain ML data pipelines — ingesting NDF sensor streams, applying rollup and preprocessing logic, constructing training datasets, and ensuring pipeline correctness on constrained edge hardware with no cloud dependency
  • Collaborate with the technical lead and Principal AI/ML Engineer to investigate RF sensor data quality, attribution reliability, and feature behavior under contention — writing code to characterize error sources, validate assumptions, and reproduce findings
  • Produce clear technical documentation of experiments, model configurations, and results — maintaining reproducibility through disciplined versioning, and contributing to monthly status reports and team knowledge sharing


Career level with a complete understanding and wide application of machine learning principles and data science techniques. Working under general direction from the Principal AI/ML Engineer, executes independently on assigned modeling and analysis tasks, contributes to pipeline development, and produces reproducible, well-documented results. Bachelor’s or Master’s (or equivalent) with 5–7 years of hands-on applied experience.


Required Skills:

  • 5+ years of hands-on applied experience in machine learning, data science, or RF signal processing
  • Demonstrated proficiency in Python for ML and data science work — PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling
  • Hands-on experience designing, training, and evaluating deep learning models — particularly metric learning, Siamese networks, or other similarity-learning architectures — on real-world, noisy, imbalanced datasets
  • Practical experience handling real-world data quality problems — missing values, label noise, class imbalance, systematic bias, and sensor artifacts — and the ability to diagnose and address them without discarding valid data
  • Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration — optimizing for CPU-only inference and multi-threaded data processing on resource-constrained x86 hardware


Desired Skills:

  • Familiarity with RF signal characteristics, passive receiver phenomenology, and sensor data interpretation — including awareness of processing artifacts, attribution ambiguities, and measurement limits common in signals intelligence datasets
  • Hands-on experience applying machine learning — particularly metric learning, deep learning networks, or similarity-learning architectures — to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Exposure to TDMA network protocols or military datalink systems, and interest in learning the signal processing challenges of dense, contested electromagnetic environments
  • Familiarity with direction-finding, time-difference-of-arrival (TDOA), or related passive geolocation concepts — understanding of their mathematical foundations and common failure modes is more important than operational experience
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing — error ellipses, bearing estimation uncertainty, feature reliability under noise — with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization


Relevant Certifications:

  • Certifications in machine learning, data science, or related technical fields (e.g., TensorFlow Developer Certificate; PyTorch Certified Associate; AWS Certified Machine Learning — Specialty; Microsoft Certified: Azure AI Engineer Associate; Certified Analytics Professional (CAP); etc.)


Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.


About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation’s pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.