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 settings 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.
📌 In Rbai Ai Ml Expert In 2026 Bengaluru (India)
🏢 Bosch Group
📍 India
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