We are seeking a highly skilled and innovative AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role involves transforming complex data into actionable insights and robust, production-ready models across various domains, including NLP, Computer Vision, and predictive analytics.

Key Responsibilities :

Model Development & Implementation :

- Design and develop AI/ML models from inception to deployment using powerful tools and libraries such as Python, TensorFlow, PyTorch, and scikit-learn.

- Research, prototype, and implement advanced algorithms in key areas including Natural Language Processing (NLP), Computer Vision (CV), recommendation systems, time-series forecasting, and other forms of predictive analytics.

Data Management & Preprocessing :

- Collect, clean, and preprocess data from multiple internal and external sources, ensuring data quality, integrity, and readiness for model training.

- Perform exploratory data analysis (EDA) to derive insights and inform feature engineering strategies.

Deployment & MLOps :

- Collaborate closely with data engineers, software developers, and product teams to seamlessly deploy AI solutions into production environments.

- Integrate models into existing software systems and define API specifications for model serving.

Performance & Optimization :

- Evaluate model performance rigorously using relevant metrics and continuously optimize models for improved accuracy, efficiency, scalability, and fairness.

- Establish monitoring strategies for deployed models to detect and address model drift or performance degradation.

Research & Documentation :

- Stay up to date with the latest developments in AI/ML research and technology, assessing their potential application to business challenges.

- Thoroughly document solutions, methodologies, and best practices for model development and deployment, facilitating knowledge sharing across functional and technical teams.