Evening Amazon Data Annotation Jobs in Baltimore, MD

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• It is 100% onsite position in Woodlawn, MD.<\/b>
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• Candidate should be local and ready to work on onsite 5 days a week at Client HQ in Woodlawn, MD.<\/b><\/span><\/span><\/span>
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• Candidate must be able to obtain and maintain a public trust clearance<\/b>
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• <\/b><\/span><\/span> <\/b><\/span><\/span><\/span>Interviews will be scheduled quickly for early next week. There will only be one round of interview<\/b><\/span><\/span><\/span>
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  Position Description:<\/b><\/span><\/span><\/u>
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  • Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs
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  • Well versed in SQL and analyzing trends and transactional data.
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  • Understand real world challenges and develop automated data solutions
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  • Develop, test, and deploy new techniques for NLP understanding
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  • Scalable development\/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
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  • Train and optimize NLP\/LLM models and create Python based pipelines
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  • Experience building cloud native solutions on AWS
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  • Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
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  • Advise on the methods and data needed and\/or available to evaluate the (intelligence or data) problem.
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  • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
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  • Provide accurate, timely, complex, and sophisticated data analysis.
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    Key Required Skills:<\/b><\/span><\/span><\/u>
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    • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
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    • Experience with Generative AI and Large Language Models (LLM)
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    • Excellent Communication skills.
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      Requirements<\/h3>\n

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      Skills Requirements:<\/b><\/span><\/span><\/span>
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      Basic Qualification:<\/b><\/span><\/span><\/span><\/u>
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      • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree<\/span><\/span><\/span>
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      • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI\/ML\/LLM engineering.<\/span><\/span><\/span>
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      • Overall 10+ years' experience in IT industry<\/span><\/span><\/span>
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        Required Skills:<\/b><\/span><\/span><\/span><\/u>
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        • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.<\/span><\/span><\/span>
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        • Experience with Generative AI and Large Language Models (LLM)<\/span><\/span><\/span>
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        • Evidence of true self\-starter and operating independently.<\/span><\/span><\/span>
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        • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks<\/span><\/span><\/span>
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        • Knowledge of TensorFlow, PyTorch, Pandas, scikit\-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.<\/span><\/span><\/span>
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        • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and\/or experience with semantic search.<\/span><\/span><\/span>
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        • Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.<\/span><\/span><\/span>
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        • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.<\/span><\/span><\/span>
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        • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.<\/span><\/span><\/span>
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        • Ability to clean and process large amounts of real\-world data.<\/span><\/span><\/span>
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        • Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.<\/span><\/span><\/span>
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        • Excellent Communication skills.<\/span><\/span><\/span>
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        • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)<\/span><\/span><\/span>
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        • Excellent analytical skills to identify potential risks and propose effective solutions.<\/span><\/span><\/span>
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        • Excellent problem\-solving skills, ability to collaborate with cross\-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.<\/span><\/span><\/span>
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          Desired Skills:<\/b><\/span><\/span><\/span><\/u>
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          • Prior experience with federal or state governments IT projects.<\/span><\/span><\/span>
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          • Industry experience preferred<\/span><\/span><\/span>
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          • Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.<\/span><\/span><\/span>
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          • Experience working in an analytical research environment.<\/span><\/span><\/span>
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          • Experience in parallel processing such as GPU programming with CUDA<\/span><\/span><\/span>
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          • Experience with Mathematica<\/span><\/span><\/span>
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          • Experience using markup languages such as LaTeX, HTML, etc.<\/span><\/span><\/span>
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          • Experience with Natural Language Processing for anomaly detection<\/span><\/span><\/span>.
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