Description
You will design, develop, and deploy machine learning models to drive AI implementation.
Responsibilities
- Design and deploy machine learning models for various business applications.
- Collaborate with data scientists and software engineers to integrate AI solutions into product offerings.
- Perform data preprocessing, feature engineering, and model evaluation.
- Develop and optimize scalable ML pipelines.
- Participate in code reviews and technical discussions to improve AI projects.
Required Skills
- 5+ years of hands-on experience in machine learning engineering.
- Proficiency in Python or Java.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Working knowledge of transformer-based models, LLMs, and Huggingface libraries.
- Solid understanding of algorithms, data structures, and software engineering principles.
- Experience with Apache Spark or Hadoop.
- Familiarity with AWS, Azure, or Google Cloud and MLOps practices.
- Experience with MLflow, Kubeflow, Airflow, Docker, or Kubernetes.