

Aptivision Technologies
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 9+ years of experience, focusing on AI/ML and generative AI, located in Baltimore, MD. It’s a long-term contract with a pay rate of "unknown." Candidates must be eligible for Public Trust Clearance and have an advanced degree.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Maryland, United States
-
🧠 - Skills detailed
#Data Analysis #Python #ML (Machine Learning) #Deep Learning #Deployment #Mathematics #Pandas #Data Science #NumPy #Model Deployment #Spark (Apache Spark) #Scala #"ETL (Extract #Transform #Load)" #TensorFlow #PyTorch #Transformers #Langchain #Monitoring #Computer Science #Automation #NLP (Natural Language Processing) #Visualization #Datasets #AI (Artificial Intelligence)
Role description
Open Position: Data Scientist – AI/ML & Generative AI
Location: Baltimore, MD (100% Onsite – 5 Days/Week)
Duration: Long-Term Contract
Experience Required: 9+ Years (Mandatory – State Requirement)
Clearance: Must be eligible for Public Trust Clearance
Visa: H1B Preferred (No OPT / No CPT)
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.
- Advanced degree (MS or PhD) in Computer Science, Data Science, Applied Mathematics, or
• a related field.
Open Position: Data Scientist – AI/ML & Generative AI
Location: Baltimore, MD (100% Onsite – 5 Days/Week)
Duration: Long-Term Contract
Experience Required: 9+ Years (Mandatory – State Requirement)
Clearance: Must be eligible for Public Trust Clearance
Visa: H1B Preferred (No OPT / No CPT)
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.
- Advanced degree (MS or PhD) in Computer Science, Data Science, Applied Mathematics, or
• a related field.






