
AI Model Developer
6 days ago
About the Position:
We are seeking an accomplished Machine Learning Engineer to design, develop, and deploy AI-driven models that drive business-critical solutions. You will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable business outcomes.
Key Responsibilities:
- Create and train AI/ML models (regression, classification, clustering, deep learning).
- Design and optimize data pipelines, feature engineering, and training workflows.
- Deploy models to production using containerization and cloud platforms.
- Monitor model performance, retrain, and maintain production-ready systems.
- Develop APIs and integrate ML solutions with enterprise applications.
- Stay updated on AI/ML trends and contribute innovative solutions.
- Collaborate with data scientists, engineers, and product managers to align with business goals.
Qualifications:
- 3+ years of experience in ML engineering or related field.
- Strong proficiency in Python; knowledge of Java/Scala/R is a plus.
- Expertise with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Hands-on with data tools: Pandas, NumPy, Spark.
- Experience with ML deployment.
- Familiarity with databases and version control.
- Understanding of DevOps/MLOps practices.
- Excellent problem-solving, communication, and collaboration skills.
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