Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 25 days ago

TS/SCI w/Poly - AI/ML Data Engineer

Workable (global search)109,826 open roles

Where
Chantilly, VA, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowTS/SCI w/Poly - AI/ML Data EngineerWorkable (global search) · Chantilly, VA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 25 days ago

Workable (global search) median: 2 days open

The posting

Al/ML Engineer

Multiple locations available including Warrenton, Chantilly and McLean, VA! You choose!

TS/SCI w/Poly required

The Data Engineer will work closely with the team to advance Human Language Technologies (HLT), with a focus on refining text and audio translation capabilities. This position will be responsible for establishing an environment to train custom models for the top language types currently available in our triage tool. Additionally, this role will enable the organization to develop the capacity to train low-resource languages which may emerge as future priorities. The individual in this role will work closely with Data Scientists, providing comprehensive support and ensuring seamless coverage. A professional who utilizes statistical analysis, programming skills, and machine learning techniques to collect, clean, analyze, and interpret large datasets, extracting valuable insights and creating predictive models

KEY RESPONSIBILITIES

 Develop, fine-tune, evaluate, and optimize multilingual machine translation models (e.g., NLLB, Opus-MT, MarianMT) to improve translation quality for low-resource languages.

 Build, preprocess, and manage multilingual text and speech datasets for model training, evaluation, and continuous improvement.

 Design, develop, and maintain scalable data pipelines and end-to-end MLOps workflows for data ingestion, model training, deployment, monitoring, and lifecycle management.

 Develop and deploy cloud-native machine learning solutions using AWS services such as SageMaker, Step Functions, and Bedrock.

 Deploy and support machine learning models in production using containerized environments and CI/CD best practices.

 Engineer features and optimize datasets to improve machine learning model performance.

 Conduct testing, validation, benchmarking, and troubleshooting of machine learning models and data pipelines.

 Research and evaluate emerging AI, machine learning, NLP, and speech technologies for mission applications.

Requirements

EDUCATION AND EXPERIENCE

 Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience

 10+ years of related software engineering experience.

REQUIRED QUALIFICATIONS

 Experience developing software applications using Python.

 Experience training, fine-tuning, evaluating, and optimizing machine learning and deep learning models using modern frameworks and best practices.

 Familiarity with DevOps and MLOps principles, including CI/CD, infrastructure automation, model lifecycle management, monitoring, version control, and software delivery best practices.

 Hands-on experience with AWS cloud services and AI/ML offerings, including S3, EC2, IAM, VPC, SageMaker, Bedrock, Lambda, and related services.

 Experience developing and deploying containerized applications using Docker.

DESIRED QUALIFICATIONS

 Experience fine-tuning transformer-based language translation models (e.g., NLLB, Opus-MT, MarianMT) and working with Hugging Face Transformers.

 Familiarity with experiment tracking, model registries, and dataset versioning tools such as MLflow, Weights & Biases, or DVC.

 Experience with distributed training frameworks such as Ray or PyTorch Distributed

 Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.

 Experience designing, implementing, and maintaining production-grade MLOps pipelines and automated machine learning workflows supporting model training, deployment, monitoring, and lifecycle management using technologies such as AWS Step Functions, Apache NiFi, Apache Airflow, or similar orchestration platforms.

 Experience developing multilingual NLP, speech processing, or language translation solutions.

 Familiarity with large language models (LLMs), transformer architectures, and generative AI technologies.

 Familiarity with NLP frameworks such as spaCy, NLTK, Stanford CoreNLP, or similar libraries.

 Strong analytical, problem-solving, and communication skills.

 Ability to work independently and collaboratively in a multidisciplinary environment.

 Familiarity with audio processing frameworks such as Librosa, PyAudioAnalysis, OpenSMILE, or similar technologies.

Benefits

· Generous starting salary with annual raises

· Fully paid Medical, Dental and Vision coverage premiums for employee and all their immediate dependents

· Generous PTO and Comp time

· 11 paid holidays

· 6% 401(k) auto contribution

· Company-funded life insurance

· Tuition and Training expense reimbursements

· Financial rewards for employee referrals

· Cash bonus SPOT Awards for efforts above and beyond your role like contributing to proposals, working billable overtime, receiving customer recognition or awards, supporting BD/marketing material creation and more!

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.