
AI Model Developer
3 days ago
We are seeking a skilled Machine Learning Engineer to create and implement cutting-edge ML models that drive business outcomes.
- Main Responsibilities:
- Design, develop, and deploy regression, classification, clustering, and deep learning models.
- Create and optimize data pipelines, feature engineering, and training workflows.
- Deploy models to production using Docker, Kubernetes, and cloud platforms.
- 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 cross-functional teams to align with business goals.
To succeed in this role, you will need:
- 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 ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Hands-on experience with data tools: Pandas, NumPy, Spark.
- Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
- Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git).
- Understanding of DevOps/MLOps practices.
- Excellent problem-solving, communication, and collaboration skills.
This role offers:
- A dynamic work environment with opportunities for growth and development.
- The chance to work with a talented team of professionals.
- The possibility of contributing to innovative projects and making a real impact.
We are looking for a skilled Machine Learning Engineer who is passionate about ML and has a strong desire to learn and grow. If you are a motivated individual who is eager to take on new challenges, we encourage you to apply for this exciting opportunity.
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