What would you be doing / Expected from this role?
- Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-driven solutions.
- Drive the architecture of machine learning pipelines from data collection and pre-processing to model training, evaluation, and deployment.
- Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).
- Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.
- Stay up to date with the latest trends in AI and machine learning, identifying opportunities for innovation and improvement.
- Work on improving model interpretability, fairness, and bias mitigation in
alignment with ethical AI practices.
Collaborate on the development of internal tools and libraries that facilitate the use of machine learning models across the organization.Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning systems.Preferred Skills :
Experience in LLM technologies, computer vision and MLalgorithms.
Knowledge of data governance and ethical AI principles.Familiarity with real-time data streaming technologies (Kafka, Flink, etc.).Who are we looking for?
Bachelor’s degree in computer science or equivalent practical experience.Must be able to work independently and enjoy working at a fast-paced start-up environment who is adept at experimenting with new technologies.Must have excellent communication (verbal & written), interpersonal, leadership, and problem-solvingskills.