Machine Learning Engineer Full Time

Description:

• Design and develop machine learning models, algorithms, and systems.
• Implement appropriate ML algorithms for tasks such as NLP, recommendation systems, and computer vision.
• Conduct experiments and analyze data to improve model performance.
• Optimize algorithms for scalability, efficiency, and accuracy.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts.
• Stay up-to-date with the latest advancements in machine learning and AI.
• Leverage cloud services (such as Azure, AWS, or Google Cloud) for model deployment and scalability.
• Explore and apply GenAI techniques to enhance model capabilities.

Requirements:

• Bachelor’s or master’s degree in computer science, data science, or a related field.
• Strong programming skills in languages like Python or R.
• Proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with NLP techniques, including text classification, sentiment analysis, and named entity recognition.
• Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Familiarity with cloud platforms and services.
• Excellent problem-solving abilities and analytical thinking.
• Good command of English.
• Contributions to open-source projects or research publications (Nice to have).
• Experience with distributed computing and big data frameworks (Nice to have).
• Certifications related to machine learning or cloud platforms (Nice to have).

Benefits:

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience.
• Improving your skills by participating in training and mentoring programs.
• Advancing your career by choosing from different career paths (technical, management).
• Broadening your horizons by working in an open and supportive multicultural environment.
• Commercial projects from the domain.
• Great atmosphere and supportive environment.
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities.
• Competitive salary adequate to your skills and performance.
• Flexible working hours.
• Training programs.
• Private medical insurance.
• Multisport program.
• English lessons.
• Company social events.
• Weekly cakes and fruits.
• Relocation assistance.