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Machine Learning Architect
2 months ago
Job Description :
Responsibilities :
- Define the overall architecture for machine learning solutions, including data ingestion, preprocessing, feature engineering, model training, deployment, and monitoring.
- Collaborate with data scientists, engineers, and business stakeholders to understand business requirements and translate them into technical solutions.
- Develop and implement scalable and efficient machine learning pipelines using cloud platforms (AWS, GCP, Azure).
- Research and evaluate new machine learning techniques and technologies to improve model performance and efficiency.
- Ensure the quality and reliability of machine learning models through rigorous testing and validation.
- Provide technical leadership and mentorship to the machine learning team.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
Qualifications :
- 8+ years of experience in machine learning, data science, or a related field.
- Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, Scikit- learn).
- Experience with cloud platforms (AWS, GCP, Azure) and their machine learning services.
- Deep understanding of machine learning algorithms and techniques (supervised, unsupervised, reinforcement learning).
- Experience with data engineering and pipeline development.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Preferred Qualifications :
- Experience with big data technologies (Hadoop, Spark).
- Knowledge of deep learning frameworks (Keras, TensorFlow).
- Experience with MLOps practices and tools.
- PhD or Master's degree in computer science, statistics, or a related field