Job Title

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 inalignment 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 ML algorithms. • 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-solving skills.