Machine Learning Ops Engineer

1 week ago

Arlington, United States Marathon TS Full time

Reference #: ODID 76494_SSA_Machine Learning Ops Engineer

Request Type:
Temp To Perm

Must be locl to Baltimore with 60 miles. Will need to go onsite 1-2 times per month.
Role Title Machine Learning Ops Engineer Start Date for assignment 12/02/2024 End Date for assignment 09/28/2025 # of Resources Needed 1 Hours per Week 40 Job Description

Specialization:

Technical Skills: Skill Years/Level of Experience Machine Learning P5 - Master Artificial Intelligence (AI) P5 - Master Natural Language Processing (NLP) P5 - Master
P1 - Beginner (0-2 yrs experience)
P2 - Intermediate (3-5 yrs experience)
P3 - Advanced (7-10 yrs experience
P4 - Expert (10+ yrs experience)

Role Description:

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
"MLOps Engineer:
Required Qualifications & Experience:
•Masters +2 years of experience or 6 years relevant work experience
•Excellent oral and written communication skills
•Formulate and rapidly prototype various approaches as well as effectively communicate the pros and cons of each.
•Excellent time management
•bility 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
•bility to contribute to the creation of an environment that motivates individuals to work collaboratively as a team
Requires proficiency in:
•Python (including developing, testing, and deploying production ML pipelines)
•Regular Expressions
•SQL (PostgreSQL)
•No-SQL (MongoDB)
•Version control systems (Git)
•Experience with ML frameworks: Tensorflow, PyTorch, Transfomers, Scikit-learn, XGBoost, LSTM, Keras, Pandas, BERT, CNN, RNN, SVMs, k-Nearest Neighbors, Linear/Logistic Regression and Classification, Ensemble Methods, Graphical Models, Clustering, Tesseract
•Information Extraction
•Statistical model building (particularly classification)
•bility to draw insights from sparsely labeled textual data
•bility to leverage domain knowledge as well as ontologies to improve model performance
Knowledge of and experience using various NLP approaches, particularly:
•Pattern recognition/feature extraction
•Supervised, Unsupervised, and Semi-Supervised learning techniques
•Understanding of various language models (N-Gram, Skipgram, NLM, etc.)
•Practical experience leveraging open source libraries for emerging DNN approaches to NLP (transformers, BERT, RoBERTA, etc.)
•Chunking/Tokenization
•Semantic parsing

The following skills are not required but are highly desired:
•Experience with NLP technologies
•Experience with machine learning
•Cloud Services Provides (AWS, Azure, GCP)
•Web Service technologies such as SOAP, WSDL, WS-Security, MTOM, SWA
•Relational Databases such as DB2, Oracle, MySQL, SQL, JDBC
•NoSQL databases such as MongoDB and HBase
•Hadoop, Spark, HDFS, MapReduce, YARN, Scala, MapReduce, Pyspark
•XML processing experience such as XSD, XPath, XSL, XSLT, etc.
•ebXML
•IBM MQ Series

Required Skills:
•rtificial Intelligence (AI) - Expert
•Natural Language Processing (NLP) - Expert
•Python - Expert
•Machine Learning - Expert
•PostgreSQL - Expert
Education Level Master's +5 years of experience or Bachelor's Degree + 7 years of experience Work Location On-site (Government / AFS Site): Baltimore
On-site %: 0%
Off-site (Contractor Site): Remote Special Requirements Work Authorization:
US Citizens

Clearance Required: Public Trust (Full Clearance)

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