AI / ML Engineer

at  Triunity Software

QUALIFICATIONS:

• Bachelor’s or Master’s degree in computer science, engineering, mathematics, or a related field.
• Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and management.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

PREFERRED QUALIFICATIONS:

• Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning.
• Knowledge of software development best practices, including version control, testing, and code review.
• Experience with big data technologies such as Hadoop, Spark, etc.

• Design, develop, and deploy machine learning models and algorithms to solve business problems.
• Collaborate with cross-functional teams to gather requirements, understand business objectives, and deliver AI/ML solutions.
• Explore and experiment with new machine learning techniques, frameworks, and libraries to improve model performance and accuracy.
• Optimize and scale machine learning algorithms to handle large volumes of data efficiently.
• Conduct thorough testing and validation to ensure the quality and reliability of AI/ML models.
• Stay up-to-date with the latest advancements in artificial intelligence and machine learning research and technologies.
  * Candidates, with Career gap can also apply.