Machine Learning Engineer

As a Machine Learning Engineer, you will play a crucial role in designing, developing, and deploying cutting-edge machine learning solutions. Your work will impact millions of users, specifically in the field of natural language processing (NLP), cloud-based applications, and deep learning.

Key responsibilities:

• 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

Qualifications_

Must have:

• 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

Nice to have:

• Contributions to open-source projects or research publications
• Experience with distributed computing and big data frameworks
• Certifications related to machine learning or cloud platforms

Additional Information_

What you can expect from us?

• 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

What do we offer?

• 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

Job Reference: ref992s