Description

You will design, develop, and deploy machine learning models to drive AI implementation across business applications.

Responsibilities

• Design and deploy machine learning models for various business applications.
• Develop and optimize scalable ML pipelines for production environments.
• Collaborate with data scientists and software engineers to integrate AI solutions into product offerings.
• Perform data preprocessing, feature engineering, and model evaluation.
• 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.
• Experience with MLflow, Kubeflow, Airflow, Docker, or Kubernetes.
• Experience with Apache Spark or Hadoop.
• Familiarity with AWS, Azure, or Google Cloud and MLOps practices.
• Solid understanding of algorithms, data structures, and software engineering principles.

Key Skills

Education

Any Gradute