
Data Scientist Innovator
6 days ago
Job Opportunity
We are seeking an experienced Machine Learning Engineer to design, build, and deploy scalable ML systems that drive business outcomes. This individual will collaborate with cross-functional teams to deliver innovative solutions.
Main Responsibilities:
- Design and develop machine learning models using regression, classification, clustering, and deep learning techniques.
- Build and optimize data pipelines, feature engineering, and training workflows for production-ready systems.
- Deploy models using cloud platforms and containerization tools.
- Monitor model performance, retrain, and maintain production-ready systems.
- Develop APIs and integrate ML solutions with enterprise applications.
- Stay updated on ML/AI trends and contribute innovative solutions.
- Collaborate with data scientists, engineers, and product managers to align with business goals.
Requirements:
- At least 3 years of experience in ML engineering or a related field.
- Strong proficiency in Python; knowledge of Java/Scala/R is a plus.
- Expertise with machine learning libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Hands-on experience with data tools: Pandas, NumPy, Spark.
- Experience with ML deployment and MLOps practices.
- Familiarity with databases and version control.
- Excellent problem-solving, communication, and collaboration skills.
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