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
-
📄 - 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.