Dice
Data Scientist-NLP/AI-ML EXP- Hybrid/TX
Dice, Irving, Texas, United States, 75084
Data Scientist - Job DescriptionWL is looking for a mid-level software engineer with a blend of Data Science and Software Engineering experience, ensuring a comprehensive understanding of project requirements.Responsibilities:
Experienced software engineer with 4+ years of experience in full lifecycle software development (from requirements phase to production deployment).Seasoned Data Scientist with 3+ years of experience working with AI/ML Models, including Natural Language Processing (NLP) to extract valuable insights from data.Deep expertise in Full Stack Development (4+ Years) and Python programming (3+ Years).Proficient in working with Databases (MongoDB preferred).Adept in DevOps practices, including CI/CD pipelines and Jenkins deployment, with the ability to create change requests for code deployment.Document-savvy, with a preference for candidates willing to handle documentation tasks and have completed one project, End to End SDLC experience.Personal Characteristics:Good software engineering background (At least 4 years of total software engineering experience).Able to handle tight deadlines.Willing to learn new technologies.Tools used by Candidate:
BERT, Tiny BERT, PiTorch, Random Forest Machine Learning models (Should have hands-on experience tuning the models and running large predictions).MongoDB, Oracle, SQL Server Databases (Querying large data sets, writing complex queries).Python, R, NodeJS Programming languages (Must be highly proficient in coding; R and NodeJS are similar to Python and can be considered).Splunk, Bit Bucket, Jenkins, VSCode, AutoSys Development and deployment tools (Must know how Splunk, Bit Bucket works).Data Scientist-NLP/AI-ML EXP- Hybrid/TX
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Experienced software engineer with 4+ years of experience in full lifecycle software development (from requirements phase to production deployment).Seasoned Data Scientist with 3+ years of experience working with AI/ML Models, including Natural Language Processing (NLP) to extract valuable insights from data.Deep expertise in Full Stack Development (4+ Years) and Python programming (3+ Years).Proficient in working with Databases (MongoDB preferred).Adept in DevOps practices, including CI/CD pipelines and Jenkins deployment, with the ability to create change requests for code deployment.Document-savvy, with a preference for candidates willing to handle documentation tasks and have completed one project, End to End SDLC experience.Personal Characteristics:Good software engineering background (At least 4 years of total software engineering experience).Able to handle tight deadlines.Willing to learn new technologies.Tools used by Candidate:
BERT, Tiny BERT, PiTorch, Random Forest Machine Learning models (Should have hands-on experience tuning the models and running large predictions).MongoDB, Oracle, SQL Server Databases (Querying large data sets, writing complex queries).Python, R, NodeJS Programming languages (Must be highly proficient in coding; R and NodeJS are similar to Python and can be considered).Splunk, Bit Bucket, Jenkins, VSCode, AutoSys Development and deployment tools (Must know how Splunk, Bit Bucket works).Data Scientist-NLP/AI-ML EXP- Hybrid/TX
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