Posted:1 day ago|
Platform:
On-site
Full Time
• 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.
• 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.).
• 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.
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