IN_RBAI_AI_ML_Expert_IN

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.
min. 1 (BE) to 6 years relevant job experience B.E in AI or CS or E&C or EEE or Mechatronics
Certifications in AI/ML or data analytics (e.g., Google Data Analytics, TensorFlow Developer, AWS Certified Machine Learning).
Experience with natural language processing (NLP), computer vision, or reinforcement learning

Skills
Python, FastAPI, Flask, AWS, Docker, Machine Learning, Deep Learning, NLP, Data Analysis, Power BI

Experience
6+ yrs

Employment type
Full-time

Work arrangement
No