Artificial Intelligence/Large Language Model Engineer

Secure our Nation, Ignite your Future

ManTech is seeking a highly skilled Artificial Intelligence Engineer with a strong focus on Large Language Models (LLM’s) to help support our current IWTSD contract out of Alexandria, VA. The successful candidate will be joining a diverse team at an industry-leading organization known for prioritizing employee development and offering opportunities for advancement.

Responsibilities include but are not limited to:

• Work on cutting-edge projects, contribute to the advancement of AI capabilities, and collaborate with cross-functional teams to deliver innovative and data-driven solutions.
• Development and Fine-tuning of LLM’s:
  • Design, develop, and fine-tune large-scale language models to meet specific business objectives.
  • Implement state-of-the-art techniques in natural language processing (NLP) and understanding to enhance model performance.
  • Experiment with model architectures and training strategies to improve efficiency and accuracy.
• Data Preparation and Management:
  • Curate and preprocess large text corpora for training and fine-tuning LLMs.
  • Ensure data quality and relevance to optimize model outcomes.
  • Manage data annotation processes when necessary.
• Model Evaluation and Validation:
  • Evaluate model performance using appropriate NLP metrics (e.g., perplexity, BLEU scores, ROUGE).
  • Conduct rigorous testing to ensure models are robust, generalize well, and meet ethical standards.
  • Perform error analysis to identify areas for improvement.
• Deployment and Integration:
  • Deploy LLMs into production environments, ensuring scalability, reliability, and security.
  • Collaborate with engineering teams to integrate models into applications, APIs, or services.
  • Optimize models for real-time inference and performance constraints
• Research and Innovation:
  • Stay updated on the latest research and developments in LLMs and NLP.
  • Experiment with new methodologies and contribute to internal knowledge bases
• Collaboration with Cross-Functional teams

Minimum Qualifications:

• Bachelors Degree in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, or a related field and at least 5 years of related AI experience.
• At least 2 years of experience focused on large language models.
• Proven track record of working with transformer-based architectures and NLP tasks.
• Proficiency in programming languages such as Python
• AI experience to include frameworks and libraries like TensorFlow, PyTorch, and Hugging Face Transformers
• Knowledge of data preprocessing techniques for text data, including tokenization, stemming, and lemmatization
• Experience with version control systems and collaborative development workflows.

Preferred Qualifications:

• Experience with prompt engineering and fine-tuning pre-trained models for specific tasks.
• Knowledge of conversational AI and experience building chatbots or virtual assistants.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI models as services.
• Publications or contributions to the AI/NLP research community.
• Strong problem-solving abilities and analytical thinking.
• Excellent communication skills, both written and verbal.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
• Attention to detail and a passion for delivering high-quality work

Clearance Required:

• Active DoD Secret

Physical Requirements:

• Sedentary work

The projected compensation range for this position is $99,200-$164,600. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, ManTech invests in it’s employees beyond just compensation. ManTech’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone.

ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services.

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