Machine Learning Engineer

th others to identify opportunities, comprehend requirements, and translate them into effective technical solutions. Devise machine learning strategies, employing established methods or creating custom algorithms to address specific business challenges. Research and evaluate emerging technologies and solid understanding of Generative AI concepts and techniques, including LLM, Agent, RAG, Fine-tuning, etc. Communicate analysis findings to non-technical business partners or executives.

Minimum Qualifications

• Profound understanding and hands-on experience in machine learning, deep learning, or reinforcement learning.

• Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or C++. Familiar with deep learning frameworks such as TensorFlow or PyTorch.

Preferred Qualifications

• Strong capability to extract valuable business insights from data and uncover the underlying narratives behind patterns.

• Experienced in working with cross-functional teams to drive the solution of business problems, ideally from end to end.

• Excellent verbal and written communication skills, capable of conveying rigorous technical concepts to non-experts. Strong skills in English is a great plus.

• M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research, Mathematics, Engineering, or a related field with a minimum of 2 years' experience applying machine learning to solve real-world business challenges.

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