Machine Learning / AI Ops Engineer (Us Cit to pass Security Clearance)

We are seeking to hire an Senior Machine Learning / AI Ops Engineer to join our team working on a multi-year award we have within a Federal Gov t Agency, located in Woodlawn, MD. This role is 100% onsite, so a qualified candidate will live within 50 miles of Woodlawn to make the daily commute.

Per our contract with the Federal Government, being a US Cit is required for working on this project for passing a Security Clearance.

This position pays a strong salary package with full benefits (including choice of healthcare plans, dental, vision, life insurance, 3 weeks PTO, 11 Paid Federal Holidays, and a matching 401k).

An option for working on an hourly rate is also available for those not needing a full benefits package.

Core Required Technical Skills

• Machine Learning - Master
• Artificial Intelligence (AI) - Master
• Natural Language Processing (NLP) - Expert

Role Description:

• Masters +5 years of experience or Bachelor's Degree + 7 years of experience
• Understanding ML development lifecycle (labeling, training, testing, deployment, monitoring)
• Experience deploying high throughput ML models to a production environment. In particular, managing and deploying custom built applications (e.g. with limited to no use of Docker containers)
• Expert in Python and dev/test/prod deployment pipelines

Requires proficiency in:

• Java
• Query languages such as SQL (PostgreSQL) and NoSQL (MongoDB)
• Other programming concepts and tools such as regular expressions and version control (Git)
• Experience managing ML model performance, such as memory management and debugging
• Experience with ML frameworks: Tensorflow, Pytorch, ONNX, Scikit-Learn, Pandas, Keras, Tesseract, Sagemaker, AWS++6
• Understanding of ethical AI principles
• Excellent oral and written communication skills, and time management skills
• Formulate and rapidly prototype various approaches as well as effectively communicate the pros and cons of each.
• Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals
• Provide technical guidance in the fields of NLP, Machine Learning, Statistical Methods
• Provide data-driven approaches to tackle various business and NLP problems
• Experience with statistical model building (particularly classification)
• Ability to leverage domain knowledge as well as methods to improve model performance

The following skills are not required but are highly desired:

• Experience with NLP and ML technologies and concepts such as: BERT, CNN, RNN, SVMs, k-Nearest Neighbors, Linear/Logistic Regression and Classification, Ensemble Methods, Graphical Models, Clustering, MLPs, Transformers, N-gram, Skipgram
• Knowledge of and experience using various NLP approaches, particularly:
• NLP preprocessing steps such as tokenization and vectorization
• Pattern recognition/feature extraction (N-Gram, Skipgram, etc.)
• Supervised, Unsupervised, and Semi-Supervised learning techniques
• Practical experience leveraging open source libraries for emerging approaches to NLP
• Chunking/Tokenization
• Semantic parsing
• Information extraction
• Experience building, deploying, and maintaining infrastructure and pipelines for LLMs.
• Experience integrating prompt management into pipelines.
• Understanding of challenges such as token usage, cost, hallucination rates.

If qualified and interested, please send an updated resume along with rate/salary requirement and we will follow up quickly to discuss further details and move forward with your interview process.

ec3 Federal Services is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ec3 Federal Services is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at ec3 are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. ec3 Federal Services will not tolerate discrimination or harassment based on any of these characteristics.