- 2 years of experience as a Machine Learning Engineer.
- Degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent practical experience.
- Good knowledge of deep learning, natural language processing (NLP) and/or LLMs.
- Proficiency in the software development in one or more programming languages (including Python).
- Minimal expertise in data analysis, data cleaning, LLM prompting and model development.
- Experience with database languages like SQL and commonly used Python libraries like Pandas and TensorFlow.
- Fluency in English.
- Good compensation;
- Benefit package;
- Strong team and career growth.
,[Collaborate with stakeholders to understand proposed use cases and translate them into actionable tasks for machine learning projects., Analyze and prepare data for modeling, including identifying proofs of concept (PoCs)., Design and implement machine learning models, iteratively refining them to meet customer satisfaction., Build automated data pipelines to ingest and process structured and unstructured data from various sources., Document both the implemented machine learning models and data pipelines for clarity and future reference.] Requirements: Python, Machine learning, Natural language processing, SQL, pandas, TensorFlow, LLM, Data analysis
Natural language processing (NLP) Data Analyst mathematics statistics pandas Python Computer Science deep-learning SQL Machine Learning TensorFlow data cleansing ML models LLM