AI/ML Engineer

3 weeks ago

Herndon, Virginia, United States Trillion Technology Solutions Full time

We are seeking a highly skilled AI/ML engineer to join our team for a DoD DISA contract at Trillion Technology Solutions. The ideal candidate will have experience developing and implementing AI/ML solutions and a strong background in data analytics, cloud technologies, and data governance. This role requires a deep understanding of AI/ML algorithms, data preparation, and model deployment in a secure, federal environment.

  1. Technical Skills:
  • Proficiency in Python: A strong command of Python programming is essential for working with language models and implementing AI solutions. We use Python 3.x as our primary programming language.
  • Understanding of C/C++: Familiarity with reading C/C++ code can be valuable, especially when dealing with low-level optimizations or interfacing with existing libraries.
  • Machine Learning Workflows: Experience in designing, training, evaluating, and deploying machine learning models is crucial. This includes feature selection, dataset curation, and algorithm selection.
  • Fine-Tuning Large Language Models: Expertise in fine-tuning pre-trained language models (such as GPT-3, BERT, or similar) to specific tasks or domains.
  • Familiar with PySpark and Data Processing Libraries: You should be familiar with popular data processing libraries like Apache Spark (PySpark). Additionally, knowledge of machine learning frameworks (like TensorFlow, Keras, or PyTorch) and other machine learning libraries is required.
  • Machine Learning Life Cycle: Familiarity with the machine learning life cycle, including feature stores, MLflow, model registries, model deployment, model serving, and model monitoring.
  1. Educational Background:
  • Bachelor's Degree or Higher: A degree in Data Science, Computer Science, or a related field provides a solid foundation. A master's or PhD is advantageous but not always necessary.
  1. Language Proficiency:
  • Complete Fluency in English: Effective communication is essential for collaborating with teams, documenting research, and explaining complex concepts.
  1. Experience:
  • Industry Experience: Look for candidates with at least 2 years of experience in data analysis, data science, or related roles.
  • Hands-On Work with Language Models: Prior work involving large language models, whether in research or practical applications, demonstrates expertise.
  1. Adaptability and Creativity:
  • Problem-Solving Skills: Generative AI often requires creative solutions to novel challenges. Seek candidates who can think outside the box.
  • Ability to Adapt to New Models: The field evolves rapidly, so an openness to learning and adapting to new language models is crucial.
  1. Domain Knowledge:
  • Understanding of NLP and Text Generation: Familiarity with natural language processing (NLP) concepts and text generation techniques is beneficial.
  • Specific Domain Expertise: Depending on your organization's focus (e.g., healthcare, finance, marketing), consider candidates with relevant domain knowledge.
  1. Collaboration and Teamwork:
  • Collaborative Attitude: Generative AI projects often involve interdisciplinary teams. Look for candidates who can work effectively with others.

Key Responsibilities:

  • Develop and Implement AI/ML Models: Develop and implement AI/ML models to support data-driven decision-making.
  • Collaborate with Data Scientists: Collaborate with data scientists, data engineers, and other stakeholders to design and deploy scalable AI/ML solutions.
  • Data Quality and Security: Ensure data quality, integrity, and security in all AI/ML projects.
  • Research and Development: Conduct research and stay updated on the latest AI/ML trends and technologies.
  • Technical Leadership: Provide technical leadership and mentorship to junior team members.
  • Compliance: Ensure compliance with federal regulations and standards.

We offer a $140,000-$180,000 annual salary, depending on experience, and a comprehensive benefits package, including health insurance, retirement plan, and paid time off.

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