Description

You will architect and deliver scalable AI/ML solutions for cloud and on-premise environments, owning the full lifecycle from design to deployment.

Responsibilities

• Architect end-to-end AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn.
• Design distributed data processing pipelines with Apache Spark and Kafka for real-time analytics.
• Operationalize ML models for NLP, deep learning, and time series forecasting using Spark Mllib, XGBoost, and LightGBM.
• Establish model deployment and monitoring practices using Apache Airflow and Bash scripting.
• Develop RESTful API integrations for seamless communication between AI components and external systems.

Required Skills

• 7-9 years of experience in AI/ML model development, including classical ML, deep learning, NLP, and time series forecasting.
• Expert proficiency in Python, R, and SQL.
• Hands-on experience with TensorFlow, PyTorch, and scikit-learn.
• Strong background in Apache Spark and Kafka for distributed data processing.
• Experience integrating models with PostgreSQL and Databricks.
• Proven track record of designing and implementing RESTful APIs.
• Bachelor of Technology or Engineering degree.

Key Skills

Education

Bachelor's degree