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Machine Learning Engineer

Company:
NSS
Location:
Virginia
Posted:
May 05, 2024
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Description:

We is working on a project that tackles the problem of artificial intelligence integration to an existing product. As an ML developer, you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence solutions in our product. Your expertise in AI/ML algorithms, machine learning, and data analysis will play a crucial role in delivering intelligent systems that improve our flagship software product, ITPIE. You will be responsible to ensure the successful integration of AI/ML models into our existing software and assist in delivering expert systems through AI/ML technologies.

3.3 Roles and Responsibilities

Design and develop AI/ML models, algorithms, and applications to solve specific problems

Enhance LLM with retrieval-augmented generation, fine-tuning, and external databases

Collaborate with existing team members to preprocess and analyze large datasets

Work with subject matter experts to build out training/testing datasets

Implement machine learning and deep learning algorithms and frameworks

Stay up-to-date with the latest AI/ML technologies

Document code, algorithms, and processes for future references

Integrate AI/ML models into production systems

Things we really need

Proficiency in programming languages such as Python and/or C#

Strong understanding of machine learning algorithms and frameworks

Experience in AI/ML libraries and frameworks like TensorFlow or PyTorch

An understanding of large language models

United States citizenship

8+ years of experience with at least 4 years of ML-related experience

Things we want too

Knowledge of data preprocessing, feature engineering, and model evaluation techniques

Familiarity with Cloud environments (e.g. AWS, Azure) and offerings

Strong analytical and problem-solving abilities

Excellent communication and teamwork skills

Things that are extra cool

Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field

Familiarity with network and server device configurations

Familiarity with Linux environments

Our end of the bargain

Remote-first environment (if that's your thing)

Dedicated collaborative office space in NoVA (if that's your thing)

We respect work/life balance

Occasional on-site team summits

Competitive salary and annual reviews

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