
AI/ML Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Data Scientist on a contract basis, requiring expertise in NLP, Generative AI, and LLMs. Key skills include Python, TensorFlow, PyTorch, Apache Spark, and database management. Location: on-site.
π - Country
United States
π± - Currency
Unknown
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π° - Day rate
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ποΈ - Date discovered
July 12, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Woodlawn, MD
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π§ - Skills detailed
#Leadership #Langchain #NLTK (Natural Language Toolkit) #ML (Machine Learning) #Database Management #Spark (Apache Spark) #Python #Version Control #Scala #EC2 #Apache Spark #Pandas #Programming #Hadoop #PyTorch #SQL (Structured Query Language) #SpaCy #Web Services #Data Engineering #Regular Expressions #DevOps #Airflow #NLP (Natural Language Processing) #Data Analysis #AI (Artificial Intelligence) #Deployment #Oracle #AWS (Amazon Web Services) #MySQL #Data Science #Azure #SQL Server #GIT #Model Deployment #Matplotlib #TensorFlow #Libraries #NumPy
Role description
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Apptech Group is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.
We have an immediate opening for AI/ML Data Scientist one of our premium clients.
Description:
Position Description:
Β· Experience with Natural Language Processing (NLP), Generative AI and Large Language Models (LLM)
Β· Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
Β· Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
Β· Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.
Β· 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.
Β· Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
Β· Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.
Β· Ability to clean and process large amounts of real-world data.
Β· Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.
Β· Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)
Β· Excellent analytical skills to identify potential risks and propose effective solutions.
Β· 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.
Job Type: Contract
Schedule:
8 hour shift
Work Location: On the road