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AI Software Engineer
2 months ago
We are seeking a highly skilled AI / ML Engineer to join our team at Triunity Software. As a key member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems.
Responsibilities:- Design and Develop Machine Learning Models: Utilize your expertise in machine learning to design and develop models that can be deployed in various business applications.
- Collaborate with Cross-Functional Teams: Work closely with our cross-functional teams to gather requirements, understand business objectives, and deliver AI/ML solutions that meet our customers' needs.
- Explore New Machine Learning Techniques: Stay up-to-date with the latest advancements in machine learning research and technologies, and experiment with new techniques to improve model performance and accuracy.
- Optimize and Scale Machine Learning Algorithms: Optimize and scale machine learning algorithms to handle large volumes of data efficiently, ensuring that our models are reliable and scalable.
- Conduct Thorough Testing and Validation: Conduct thorough testing and validation to ensure the quality and reliability of our AI/ML models, and identify areas for improvement.
- Education: Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field.
- Technical Skills: Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, etc.
- Machine Learning Expertise: Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
- Experience with Data Preprocessing: Experience with data preprocessing, feature engineering, and model evaluation.
- Cloud Platform Experience: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and management.
- Soft Skills: Excellent problem-solving skills, attention to detail, strong communication and collaboration skills, and the ability to work effectively in a team environment.
- Natural Language Processing (NLP) Experience: Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning.
- Software Development Experience: Knowledge of software development best practices, including version control, testing, and code review.
- Big Data Experience: Experience with big data technologies such as Hadoop, Spark, etc.
