AI / ML Engineer

AI Model Development & Fine-Tuning
- Train, fine-tune, and adapt machine learning and deep learning models tailored to specific business use cases.
Data Management & Preparation
- Collect, clean, and preprocess both structured and unstructured data.
- Conduct feature engineering, normalization, and anomaly detection to enhance data quality.
Model Deployment & Productionization
- Package and deploy AI models to production environments using containerization and model serving frameworks.
- Monitor deployed AI systems for performance, reliability, and scalability.
Intelligent System Automation
- Automate business processes through AI-driven systems (e.g., predictive analytics, NLP-based chatbots, computer vision applications).
Agentic System Simulation & Optimization
- Test, simulate, and optimize entire agentic systems to ensure comprehensive performance and reliability.
Collaboration & Continuous Learning
- Engage cross-functionally with engineers, product teams, and stakeholders to align AI initiatives with business goals.
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor project progress and ensure alignment with strategic goals.