Data Scientist with Gen AI
Data Scientist with Gen AI
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1 Vacancy
Job Description
Hiring: W2 Candidates Only
Location: USA
Visa: Open to any visa type with valid work authorization in the USA
Experience Required: 6 to 12 years
Level: Mid to Lead positions
Key Responsibilities
- Data Analysis & Modeling: Analyze large datasets to identify patterns and trends developing predictive models using ML algorithms like regression classification and clustering.
- AI Model Development: Design train and deploy AI models including natural language processing (NLP) systems computer vision applications and time series forecasting.
- Data Integration & Pipeline Management: Integrate data from various sources ensuring data quality and consistency. Utilize tools like Apache Airflow for workflow automation and manage data pipelines effectively.
- Cloud & MLOps: Deploy AI models on cloud platforms such as AWS Azure or GCP. Implement MLOps practices to streamline model deployment monitoring and maintenance.
- Visualization & Reporting: Create interactive dashboards and visualizations using tools like Power BI or Tableau to present insights to stakeholders.
- Collaboration & Communication: Work closely with cross-functional teams including data engineers product managers and business analysts to align AI solutions with business objectives.
Essential Skills
- Programming Languages: Proficiency in Python and R; experience with SQL and Java is a plus.
- AI/ML Frameworks: Familiarity with TensorFlow PyTorch Keras and scikit-learn.
- Data Processing & Visualization: Experience with Pandas NumPy Matplotlib and data visualization tools.
- Cloud Platforms: Knowledge of cloud services like AWS Azure or GCP for model deployment.
- Soft Skills: Strong problem-solving abilities effective communication and teamwork.
Experience Requirements
- Experience: 6-12 years in data science or AI roles with a proven track record of deploying AI solutions in production environments.
- Certifications: Certifications like Azure AI Engineer Associate or TensorFlow Developer can be advantageous.
Employment Type
Full Time
