Machine Learning Solution Lead

Experience Level: 8 to 10 Years

Key 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.

Requirements:

• Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in leading machine learning projects and teams.
• Strong programming skills in languages such as Python, R, or Java.
• Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying machine learning models in production.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and leadership skills.
• Good understanding of MLOps and big data management methodologies.
• Experience in computer vision, neural networks, and reinforcement learning.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 8 to 10 years of hands-on experience in machine learning, deep learning, and computer vision.

Preferred Qualifications:

• 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.