ByThe Machine Learning Engineer role at Zycus (Job ID: SOF04327) focuses on utilizing advanced analytics, data mining, and machine learning to develop AI-driven solutions in the cognitive procurement space. The company is a leader in the Source-to-Pay software industry, recognized by major market analysts like Gartner and Forrester. The position offers global exposure, opportunities for growth, and the chance to make an impactful contribution to Zycus’ cutting-edge technology offerings.
Key Responsibilities:
- AI Solutions Development: Implement AI solutions using analytics and data mining techniques across various platforms (web, social, big data).
- Generative AI: Use AI for content creation and problem-solving.
- Data Strategy: Identify new datasets for product development, working closely with the engineering team.
- Machine Learning: Apply pattern recognition, inference techniques, and optimize machine learning models.
- NLP & Computational Linguistics: Integrate natural language processing into product development.
- Statistical Modelling: Analyze data using econometrics and statistical models.
- Distributed Systems & Cloud Computing: Optimize cloud infrastructure for scalable solutions.
- HCI & Information Visualization: Enhance user interaction with products.
Requirements:
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or related field.
- Strong background in Analytics, Data Mining, Machine Learning, and related fields.
- Proficiency in Python, R, Java, or C++.
- Experience with NLP, Computer Vision, Deep Learning, and statistical models.
- Knowledge of Cloud Computing platforms like Redshift, S3, Spark.
- Excellent communication and teamwork skills.
Zycus provides a dynamic work environment with opportunities to grow, move between roles, and gain exposure to global clients.
To apply, visit Zycus Hiring Machine Learning Engineer.
