Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
New Mind AI is seeking a highly skilled Senior Machine Learning Engineer to join their team. The ideal candidate will have 5+ years of experience in developing and deploying machine learning models, performing data analysis, and collaborating with cross-functional teams. Key responsibilities include developing ML models, performing data analysis, and optimizing existing models. Requirements include a Bachelor's degree in Computer Engineering or related field, expertise in Python, machine learning algorithms, and frameworks like TensorFlow and PyTorch. The company offers a dynamic work environment, collaboration with leading experts, and opportunities to work on diverse projects using cutting-edge AI tools. New Mind AI is headquartered in YTÜ Teknopark, Maslak, Istanbul, with specialized labs in India and Turkey. They specialize in AI-driven business solutions, including AI legal tech products, and have developed platforms like Mecellem, Malumat, and Mahfuz for dynamic knowledge management.
Responsibilities For Senior Machine Learning Engineer
- Develop and deploy machine learning models and data-driven solutions for various business needs
- Perform data analysis to extract insights, identify trends, and inform strategic decisions
- Collaborate with cross-functional teams to translate business requirements into ML and data science solutions
- Stay up-to-date with the latest advancements in machine learning and data science fields
- Optimize existing models and analytical processes for improved performance and efficiency
- Implement code quality and continuous integration best practices to ensure robust and reliable solutions
Requirements For Senior Machine Learning Engineer
- Bachelor's degree in Computer Engineering, Data Science, or related field (Master's or PhD is a plus)
- 5+ years of experience in a data-focused team building deep learning models and predictive analytics
- Proficiency in Python programming language
- Expertise in machine learning algorithms (NLP, CV) and frameworks (TensorFlow, PyTorch)
- Strong statistical and data analysis skills
- Experience with deep learning and generative models
- Proficiency in NoSQL (Elasticsearch, MongoDB) and SQL (PostGres, MySQL) databases
- Fluent in English, both written and spoken
Benefits For Senior Machine Learning Engineer
- Professional development opportunities
- Collaborative work environment
- Exposure to cutting-edge AI technologies
- Global reach and diverse projects
