International Software Systems Inc.
Senior Data Scientist
Woodlawn, Maryland, USA · Senior · full-time
No sponsorshipDetected 55 days ago
PythonHTMLGitSQLMySQLSQLiteAWSAzureDevOpsMachine LearningTensorFlowPyTorchscikit-learnPandasNumPySparkAirflowData AnalysisData EngineeringData ScienceNLPLLMsMLOpsAI Orchestration
About the role
- Candidates need to have excellent communication skills. This will be 5 days working from SSA HQ, so candidates should be local and ready to interview immediately Key Required Skills: Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy. Experience with Generative AI and Large Language Models (LLM)
- Excellent Communication skills Position Description: Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs Well versed in SQL and analyzing trends and transactional data. Understand real world challenges and develop automated data solutions Develop, test, and deploy new techniques for NLP understanding Scalable
Requirements
- Overall 10+ years&rsquo
- Experience with Generative AI and Large Language Models (LLM) Evidence of true self-starter and operating independently.
- Pandas, numpy, matplotlib) and ML frameworks Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
- Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.
- Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
- Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.
- Ability to clean and process large amounts of real-world data.
- Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.
- Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.) Excellent analytical skills to identify potential risks and propose effective solutions.
- Experience working in an analytical research environment.
Nice to have
- Industry experience preferred Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.
Skills
- Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
- Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
- Provide accurate, timely, complex, and sophisticated data analysis.
- Candidates need to have excellent communication skills.
- This will be 5 days working from SSA HQ, so candidates should be local and ready to interview immediately
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