Jobs via Dice
AI Data Scientist- Only W2 role
Jobs via Dice, Charlotte, North Carolina, United States, 28245
Job Title:
AI Data Scientist
Location:
Charlotte, NC (Hybrid 2-3 Days)
Hire Type:
Contract
Duration:
Long Term
Experience Level:
8-12 Years in AIML software engineering Model development
Industry:
Information Technology
Role Overview:
We are looking for an experienced Data Scientist who can design, develop and deploy advanced AI/ML models and data‑driven solutions. The ideal candidate will have strong expertise in machine learning, deep learning, LLMs and cloud‑based data platforms along with hands‑on experience in data engineering, vector databases and end‑to‑end deployment.
Key Responsibilities:
Model Development Optimization
Build and finetune MLDL models, including LLMs for NLP tasks
Implement RAG Retrieval Augmented Generation and Agentic AI workflows for enterprise use cases
Optimize models for performance, scalability and cost efficiency
Data Engineering Management:
Design and maintain data pipelines for structured and unstructured data
Work with vector databases e.g., Pinecone, Milvus, Weaviate for semantic search and embeddings
Ensure data quality, governance and compliance
Deployment MLOps:
Deploy models using Docker, Kubernetes and cloud‑native services (AWS, Azure, Google Cloud Platform)
Implement CI/CD pipelines for ML workflows and automated retraining
Monitor model performance and drift using MLOps tools
Collaboration & Communication:
Work closely with architects, engineers and business stakeholders to translate requirements into solutions
Present insights and recommendations using data visualization tools
Required Technical Skills:
Programming: Python, Pandas, NumPy, Scikit‑learn, PyTorch, TensorFlow, SQL
AI/ML Frameworks: LangChain, Hugging Face, LlamaIndex
Cloud Platforms: AWS, SageMaker, Azure ML, Google Cloud Platform, Vertex AI
Databases: SQL, NoSQL, Vector DBs (Pinecone, Milvus, Weaviate)
Deployment: Docker, Kubernetes, Helm
MLOps Tools: MLflow, Kubeflow, Airflow
Visualization: Power BI, Tableau, Matplotlib, Plotly
Preferred Qualifications:
Experience with LLM finetuning and prompt engineering
Knowledge of distributed computing and GPU acceleration
Familiarity with data privacy regulations and responsible AI principles
Mandatory Skill:
Python - Data Science
Thanks & Regards,
Viswanath Dulam Senior Team Lead - Recruitment
#J-18808-Ljbffr
AI Data Scientist
Location:
Charlotte, NC (Hybrid 2-3 Days)
Hire Type:
Contract
Duration:
Long Term
Experience Level:
8-12 Years in AIML software engineering Model development
Industry:
Information Technology
Role Overview:
We are looking for an experienced Data Scientist who can design, develop and deploy advanced AI/ML models and data‑driven solutions. The ideal candidate will have strong expertise in machine learning, deep learning, LLMs and cloud‑based data platforms along with hands‑on experience in data engineering, vector databases and end‑to‑end deployment.
Key Responsibilities:
Model Development Optimization
Build and finetune MLDL models, including LLMs for NLP tasks
Implement RAG Retrieval Augmented Generation and Agentic AI workflows for enterprise use cases
Optimize models for performance, scalability and cost efficiency
Data Engineering Management:
Design and maintain data pipelines for structured and unstructured data
Work with vector databases e.g., Pinecone, Milvus, Weaviate for semantic search and embeddings
Ensure data quality, governance and compliance
Deployment MLOps:
Deploy models using Docker, Kubernetes and cloud‑native services (AWS, Azure, Google Cloud Platform)
Implement CI/CD pipelines for ML workflows and automated retraining
Monitor model performance and drift using MLOps tools
Collaboration & Communication:
Work closely with architects, engineers and business stakeholders to translate requirements into solutions
Present insights and recommendations using data visualization tools
Required Technical Skills:
Programming: Python, Pandas, NumPy, Scikit‑learn, PyTorch, TensorFlow, SQL
AI/ML Frameworks: LangChain, Hugging Face, LlamaIndex
Cloud Platforms: AWS, SageMaker, Azure ML, Google Cloud Platform, Vertex AI
Databases: SQL, NoSQL, Vector DBs (Pinecone, Milvus, Weaviate)
Deployment: Docker, Kubernetes, Helm
MLOps Tools: MLflow, Kubeflow, Airflow
Visualization: Power BI, Tableau, Matplotlib, Plotly
Preferred Qualifications:
Experience with LLM finetuning and prompt engineering
Knowledge of distributed computing and GPU acceleration
Familiarity with data privacy regulations and responsible AI principles
Mandatory Skill:
Python - Data Science
Thanks & Regards,
Viswanath Dulam Senior Team Lead - Recruitment
#J-18808-Ljbffr