Omm2663J

Omm IT Solutions; Woodlawn (MD); On-site; USD 140,000 - 190,000; Full time

Job summary

Omm IT Solutions is seeking a senior AI engineer to design and implement generative models, including transformer-based systems, in a 100% onsite role in Woodlawn, MD. You will lead model design, training, and deployment, ensuring robust data pipelines and ethical AI practices.

The ideal candidate has 5+ years of hands-on AI development, strong Python and ML/DL skills, and works well in collaborative settings. No visa sponsorship; on-site requirement applies.

Qualifications

• Bachelor's degree in CS/Math/Engineering or related field.
• Masters/Doctorate may substitute for experience.
• Minimum 5 years hands-on experience designing and implementing AI models (Generative AI preferred).
• Must be able to obtain and maintain a Public Trust (contract requirement).

Responsibilities

• Design and develop generative models (GANs, VAEs, transformers/LLMs).
• Fine-tune and optimize pre-trained models for tasks and datasets.
• Craft prompts to guide AI models for specific outputs.
• Build AI pipelines for data prep, model training, deployment, monitoring.
• Integrate generative AI models into existing software applications.
• Stay updated with latest generative AI research and techniques.
• Consider ethics, bias, misuse, and responsible AI practices.
• All other duties as assigned or directed.

Skills

Machine Learning

Deep Learning

Neural Networks

Python

NLP

Prompt Engineering

Data Management

Education

Bachelor's Degree in Computer Science, Mathematics, Engineering or related field

Masters or Doctorate substitute for experience

Tools

TensorFlow

PyTorch

Keras

Scikit-Learn

Job description

Omm IT Solutions | Permanent W-2 Employee / Corp2Corp Contractor

Woodlawn, United States | Posted on 08/11/2025

• Job Type Permanent W-2 Employee / Corp2Corp Contractor
• Compensation Negotiable
• State/Province Maryland
• Country United States
• Work Authorization No Visa Sponsorship Provided. Green Card EAD can also apply
• Background Check/Public Trust Clearance US Public Trust Clearance
• Job Opening ID Omm2663J

Job Description

Please Note:

• It is 100% Onsite Position
• Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week

Key Required Skills:

• Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing.

Position Description:

• Design and develop generative models: This includes working with architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and especially transformer-based models (like those behind LLMs).
• Fine-tuning and optimization: Adapting pre-trained generative models for specific tasks and datasets, optimizing their performance, efficiency, and the quality of their generated output.
• Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design).
• Build AI pipelines: Creating the infrastructure and workflows for data preparation, model training, deployment, and ongoing monitoring of generative AI systems.
• Integration: Incorporating generative AI models into existing software applications and products.
• Research and experimentation: Staying up to date with the latest research in generative AI and experimenting with new algorithms and techniques.
• Ethical considerations: Understanding and addressing potential biases, misuse, and ethical implications of generative AI.
• All other duties as assigned or directed.
  

Requirements

Skills Requirements:

Basic Qualifications:

• Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field.
• Masters or Doctorate degree may substitute for required experience
• Minimum 5 years of hands‑on experience designing, developing, and implementing AI models (Generative AI experience preferred)
• Must be able to obtain and maintain a Public Trust. Contract requirement.

Required Skill

• Strong foundation in Machine Learning, Deep Learning, and neural networks (GANs, VAEs, Transformers, LLMs).
• Proficiency in programming languages, especially Python, and relevant libraries (Scikit‑Learn, TensorFlow, PyTorch, Keras).
• Expertise in Natural Language Processing (NLP) for text and language generation.
• Data management, preprocessing, and feature engineering skills.
• Expertise with prompt engineering techniques for guiding AI models.
• Experience with cloud‑based AI platforms (AWS, Azure).
• Knowledge of software development best practices, including CI/CD pipelines, version control, and testing.
• Problem‑solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.
• Understanding of AI ethics and responsible AI development.

Desired Skills

• Prior experience with federal or state governments IT projects.
• Familiarity with various LLM models available in the market
• Working knowledge of Retrieval Augmented Generation (RAG) to enhance LLM responses
• Experience integrating GenAI models and services into existing applications using APIs

Education/Work Experience

Education: Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field. Masters or Doctorate degree may substitute for required experience