Job Details

• Algorithm Development: Design, implement, and optimize data processing algorithms and AI models that enable intelligent decision-making and predictive capabilities.
• Data Integration: Collaborate with cross-functional teams to integrate, clean, and transform diverse data sources into usable formats for analysis and model training.
• Model Training: Develop and train machine learning and deep learning models using a variety of techniques, libraries, and frameworks to extract meaningful insights from data.
• Feature Engineering: Identify relevant features and attributes from complex datasets to enhance the performance of AI models.
• Data Visualization: Create informative visualizations and dashboards that effectively communicate data-driven insights to both technical and non-technical stakeholders.
• Performance Optimization: Continuously improve the efficiency and accuracy of algorithms and models to enhance overall system performance.
• Prototyping: Rapidly prototype and iterate on new data and AI concepts, turning them into production-ready solutions.
• Collaboration: Work closely with software engineering, product, and research teams to integrate AI solutions into larger software systems and applications.
• Research and Innovation: Stay current with the latest advancements in AI, machine learning, and data science, and contribute innovative ideas to enhance the company's offerings.
• Documentation: Create comprehensive documentation for code, algorithms, and models to facilitate knowledge sharing and future development.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Software Engineer, focusing on data processing, AI, and machine learning.
• Proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with popular AI and data science libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, pandas).
• Solid understanding of machine learning concepts, algorithms, and statistical methods.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services.
• Strong problem-solving skills and the ability to tackle complex technical challenges.
• Excellent communication skills, both written and verbal, to collaborate effectively with cross-functional teams.
• Attention to detail and a commitment to producing high-quality, reliable code.
• Prior experience with deploying AI models in production environments is a plus.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plans with company matching.
• Professional development opportunities and support for attending conferences and workshops.
• Collaborative and innovative work environment.
• Opportunity to work on groundbreaking AI projects and technologies.

If you are enthusiastic about contributing to the advancement of AI-driven solutions and are eager to work in a dynamic, forward-thinking company, we encourage you to apply. Join us in shaping the future of ticketing and AI technology!

To apply, please submit your resume and a cover letter detailing your relevant experience and interest in the position to ...@suptask.com.

Suptask is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply now

To apply, please submit your resume and a cover letter detailing your relevant experience and interest in the position to ...@suptask.com.