What are the responsibilities and job description for the Data Scientist with Gen AI position at innovitusa?
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: 3–6 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.
