SysTechCorp Inc

Data Scientist – AI/ML & Generative AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – AI/ML & Generative AI in Baltimore, MD, for 6 months on-site. Pay is on W2. Requires 8+ years in data science, expertise in ML models, LLMs, and tools like Python and TensorFlow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 12, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Baltimore, MD
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🧠 - Skills detailed
#Langchain #Python #Data Analysis #Transformers #"ETL (Extract #Transform #Load)" #NumPy #Spark (Apache Spark) #NLP (Natural Language Processing) #ML (Machine Learning) #Pandas #Automation #Model Deployment #Datasets #Deep Learning #PyTorch #TensorFlow #Deployment #AI (Artificial Intelligence) #Scala #Visualization #Monitoring #Data Science
Role description
Job Title: Data Scientist – AI/ML & Generative AI Location: Baltimore, MD (5 days on-site) Duration: 6 Months (Strong Possibility of Extension) Note : Only on W2 and No Visa Restrictions Job Description: • We are seeking a forward-thinking Data Scientist with deep expertise in machine learning, LLMs, and generative AI to lead the development of advanced data-driven solutions. The ideal candidate will build and deploy scalable AI models, analyze complex datasets, and contribute to innovation across enterprise applications. Responsibilities & Qualifications • Design, build, and deploy ML models, including NLP, predictive analytics, and deep learning use cases. • Develop and fine-tune LLMs and Generative AI models for tasks such as summarization, content generation, and intelligent automation. • Work with large structured and unstructured datasets using tools like Pandas, NumPy, and Spark. • Implement models in production environments using Python, TensorFlow, PyTorch, or scikit-learn. • Conduct exploratory data analysis and visualization to support hypothesis development and business insights. • Collaborate with engineering, product, and analytics teams to integrate AI solutions into products and workflows. • Experience with transformers, open-source LLMs (e.g., LLaMA, Falcon, Mistral), or frameworks like LangChain is highly desirable. • Knowledge of MLOps, model versioning, monitoring, and deployment pipelines is a plus. • 8+ years of experience in data science, including real-world ML model deployment and optimization.