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Machine Learning Engineer
5 months ago
Summary :
We are seeking a highly skilled and experienced Machine Learning Engineer to join our growing Data Science team.
You will play a key role in designing, developing, and deploying machine learning models to solve real-world business problems across various domains like recommendation systems, customer segmentation, NLP (Natural Language Processing), and time series forecasting.
Responsibilities :
- Collaborate with data scientists and business stakeholders to understand business needs and translate them into technical requirements for machine learning solutions.
- Explore, clean, and pre-process data from various sources (structured and unstructured) using Python and SQL.
- Develop and implement machine learning models using supervised learning (e.g., classification, regression) and unsupervised learning (e.g., clustering, dimensionality reduction) techniques.
- Build and deploy recommendation systems, customer segmentation models, NLP applications, and time series forecasting models (depending on project needs).
- Utilize libraries like scikit-learn for traditional machine learning tasks and explore deep learning libraries like TensorFlow or PyTorch for complex problems (if applicable).
- Integrate machine learning models into production pipelines and monitor their performance.
- Effectively communicate technical concepts and present results to both technical and non-technical audiences.
- Stay up-to-date with the latest advancements in machine learning and related technologies.
Qualifications :
- Master's degree in Computer Science, Statistics, Mathematics, or a related field (Bachelor's degree with relevant experience may be considered).
- 7 to 9 years of experience in machine learning engineering or a related data science role.
- Strong proficiency in Python programming and familiarity with data science libraries (scikit-learn, pandas, NumPy, etc.).
- Working knowledge of SQL for data retrieval and manipulation.
- Experience with applying supervised and unsupervised learning techniques to solve real-world problems.
Preferred :
- Experience with NLP techniques and tools for text data analysis.
- Experience with time series analysis and forecasting techniques.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Ability to translate complex technical concepts into clear and concise language for non-technical audiences.
