Job Summary :
We are looking for an experienced AI / ML Engineer to design, build, and deploy scalable machine learning models and AI-powered solutions. You will work closely with data scientists and product teams to develop algorithms, automate decision-making, and drive innovation using advanced analytics.
Key Responsibilities :
- Build, train, and optimize machine learning models.
- Collaborate with cross-functional teams to deploy AI solutions in production.
- Research and apply the latest in NLP, computer vision, or recommendation systems.
- Implement model monitoring, retraining pipelines, and performance tuning.
- Ensure model interpretability and fairness in AI outcomes.
- Support the production of scalable and optimised AI / machine learning (ML) models
- Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI / ML solutions from theoretical data science models.
- Run experiments to test the performance of deployed models that arise in the process.
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
- Work with the relevant software platforms in which the models are deployed.
Requirements :
Proficient in Python, TensorFlow, PyTorch, Scikit-learn.Strong understanding of data structures, algorithms, and ML fundamentals.Experience with model deployment (Flask, FastAPI, AWS SageMaker, GCP Vertex AI).Background in mathematics, statistics, or computer science.