AI/ML Engineer

Role & responsibilities

• Develop and deploy machine learning models to analyze large datasets and extract actionable insights.
• Design and implement algorithms and data pipelines for data preprocessing, feature engineering, and model training.
• Evaluate and select appropriate machine learning techniques and algorithms to address specific business problems.
• Collaborate with software engineers to integrate machine learning models into production systems and optimize performance.
• Conduct experiments, analyze results, and iterate on models to continuously improve accuracy and effectiveness.
• Stay updated on the latest advancements in AI/ML technologies and contribute to the development of best practices and standards within the organization.

Preferred candidate profile

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Strong programming skills in Python, with experience using libraries such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with data visualization tools and techniques, such as Matplotlib, Seaborn, or Tableau.
• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively.
• Proven track record of delivering AI/ML projects from conception to deployment in a production environment.
• The ideal candidate will have a passion for machine learning and artificial intelligence, with a strong background in data science and software development. You will collaborate with cross-functional teams to design, develop, and implement cutting-edge AI/ML solutions to solve complex business challenges.