Machine Learning Engineer
1 month ago
Key Responsibilities:
- Design and implement scalable machine learning models based on business needs.
- Collaborate with cross-functional teams to understand objectives and challenges, and translate them into data-driven solutions.
- Preprocess, analyze, and interpret large datasets to identify patterns and valuable insights.
- Build and optimize data pipelines for efficient data processing and model training.
- Implement end-to-end machine learning solutions, from model development to deployment in production environments.
- Continuously monitor the performance of models and make improvements as required.
- Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science.
Must-Have Skills:
- Bachelor’s/Master’s degree in Computer Science, Data Science, or a related field.
- 4-6 years of experience working as a Machine Learning Engineer or similar role.
- Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning, etc.).
- Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data processing frameworks like Apache Spark or Hadoop.
- Knowledge of deep learning techniques and NLP is a plus.
- Experience in cloud platforms (AWS, GCP, or Azure) for deploying ML models.
- Ability to work with SQL and NoSQL databases.
- Strong analytical and problem-solving skills.
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