Machine Learning Solution Lead

Role & responsibilities

• Lead the design, development, and deployment of machine learning models and solutions.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Oversee the end-to-end machine learning lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
• Ensure the scalability, performance, and reliability of machine learning systems.
• Mentor and guide junior data scientists and machine learning engineers.
• Stay updated with the latest advancements in machine learning and AI technologies and integrate them into projects.
• Communicate complex technical concepts to non-technical stakeholders effectively.

Preferred candidate profile

• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Knowledge of big data technologies like Hadoop, Spark, or Kafka.
• Familiarity with DevOps practices and tools.