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.

Requirements