Machine Learning Engineer

Responsibilities:

• Build systems that combine ML & deep learning techniques with classical AI approaches to solve real-life business problems
• Research, develop, prototype, and productionize AI-enabled solutions using various software engineering tools and technologies
• Choose the most suitable methods and algorithms to apply to a particular use case
• Work with datasets to train, validate, optimize and deploy ML models

Requirements:

• BS, MS, or Ph.D. in Computer Science or a related technical field involving Artificial Intelligence & Machine Learning
• Capability of translating business use cases into a concrete model development strategy
• Strong problem-solving skills
• Strong programming skills in Python
• Experience in using Python for analysis and modeling
• Experience with machine learning frameworks and libraries (e.g. PyTorch, TensorFlow, Keras, scikit-learn)
• Knowledge of statistical techniques and understanding of their advantages and drawbacks
• Very good communication skills
• Very good command of English

Nice to have:

• Experience using cloud services and infrastructure (AWS, Azure, GCP)
• Familiarity with text processing and analysis
• Familiarity with ML automation tools (MLflow, Metaflow)
• Familiarity with Julia or other programming languages