IN_RBAI_AI_ML_Expert_IN_2026

Key Responsibilities:

• Data Analysis and Preprocessing:• Gather, clean, and preprocess structured and unstructured data for analysis.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights.

• Model Development:• Develop, train, and validate machine learning models to address business challenges.
• Implement deep learning algorithms where applicable for advanced analytics.

• Data Visualization:• Create interactive dashboards and reports to visualize insights using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn, Plotly).
• Communicate results and recommendations effectively to stakeholders.

• System Integration and Deployment:• Integrate ML models into production environments and ensure their scalability and performance.
• Use tools like TensorFlow Serving, Flask, FastAPI, or Docker for model deployment.

• Collaboration:• Work closely with cross-functional teams, including data engineers, business analysts, and product Planning Team, to understand project requirements.

• Continuous Learning and Improvement:• Stay updated with the latest trends, technologies, and methodologies in data science, machine learning, and AI.
• Optimize existing models and systems for improved performance and accuracy.

Function: Engineering
Experience Level: Associate