MLE – AI/ML, Search & Discovery

What You Will Do:

• Collaborate with senior members of the team to design, implement, and deploy machine learning models and systems
• Participate in all stages of the machine learning development lifecycle, from data collection and preprocessing to model evaluation and deployment.
• Work closely with cross-functional teams to understand business requirements and translate them into machine learning solutions.
• Contribute to the improvement of existing machine learning pipelines and infrastructure.
• Stay up-to-date with the latest trends and technologies in machine learning and share knowledge with the team.

Who You Are:

• You are an experienced machine learning engineer with experience in developing and deploying machine learning models. 
• You have a solid understanding of machine learning concepts and algorithms, with hands-on experience in at least one framework such as TensorFlow or PyTorch. 
• You have strong problem-solving skills and attention to detail. 
• You are eager to learn and grow in a collaborative team environment. 
• You have good communication skills and can effectively communicate technical concepts to both technical and non-technical stakeholders

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of experience in machine learning engineering or a related field.
• Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, etc.
• Familiarity with machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of software development best practices, version control systems, and collaborative coding workflows, CI/CD, and automated testing.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.

Why join us:

• Ability to work remotely from anywhere in the world
• Close cooperation with the development team and client
• Opportunity to influence product development
• Professional growth: the certification preparation course is free for our specialists. The company pays for two attempts to pass the exam, regardless of the exam result
• We cover English classes (with a native speaker)
• Boost professional brand: you can participate in local conferences as a listener or as a speaker
• Regular team buildings: have fun with teammates
• Gifts for significant life events (marriage, childbirth)
• Tech and non-tech Zazmic Communities: support and share experience with each other