Description

You will build, validate, and deploy AI models while integrating emerging technologies into existing platforms.

Responsibilities

• Develop, validate, and deploy AI models using modern Gen AI best practices.
• Perform R&D activities and monitor technology trends in the AI/ML space.
• Design systems in cooperation with architects and establish development standards.
• Analyze ML algorithms to rank them by success probability for specific problems.
• Manage AI/ML cluster features including API endpoints, security, SSO, and version control.

Required Skills

• 7+ years of experience in ML development and MLOps.
• Expertise in Python and its associated ML, Data, and API libraries.
• Experience creating end-to-end data pipelines, including sourcing and automation.
• Knowledge of ModelOps, MLOps, AutoML, AI Ethics, and Explainable AI.
• Experience with ML frameworks such as TensorFlow, scikit-learn, XGBoost, or H2O.
• Proficiency in cloud environments including AWS, Azure, or GCP.
• Experience with containerized environments like Kubernetes or Mesos.
• Ability to work with large datasets using distributed systems like Spark or Hadoop.
• Competency in data cleaning, hyperparameter tuning, and data distribution analysis.

Preferred Skills

• Experience with SAP platforms including SAP AI Core, SAP Data Intelligence, or Embedded Analytics in S/4HANA.
• Expertise in Big Data and Data Modelling.
• Knowledge of LLMs, LSTM, and RNN architectures.

Key Skills

Education

Any Graduate