Description

You will architect end-to-end AI/ML solutions and scalable data pipelines to support machine learning workflows.

This role is on-site.

Responsibilities

• Architect and deploy AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn.
• Design scalable data pipelines and real-time processing systems with Apache Spark, Kafka, and PostgreSQL.
• Implement advanced ML models including deep learning, NLP, and time series forecasting using XGBoost, LightGBM, and Spark MLlib.
• Integrate data engineering platforms like Apache Airflow, DataBricks, and RabbitMQ for data ingestion and orchestration.
• Develop RESTful API integrations for seamless communication between AI/ML components and external systems.

Required Skills

• 5+ years of experience in AI/ML model development.
• Expert proficiency in Python, R, SQL, and Bash.
• Strong knowledge of Data Analysis and Machine Learning principles.
• Hands-on experience with TensorFlow and PyTorch.
• Proficiency with Apache Spark and Kafka for data processing.
• Experience with PostgreSQL and SQL-based environments.

Preferred Skills

• Experience with R and Bash scripting for data science workflows.
• Familiarity with Apache Airflow and DataBricks.

Key Skills

Education

Bachelor's degree