Description

You will design, build, and deploy scalable machine learning and AI solutions across diverse domains, leveraging deep expertise in big data and deep learning frameworks. You own the end-to-end development lifecycle for complex AI systems, ensuring robust performance and integration with existing data pipelines.

This role is remote.

Responsibilities

• Architect and implement scalable ML/AI models using TensorFlow and PyTorch.
• Process and analyze large-scale datasets using Apache Spark, Kafka, and Flink.
• Develop interactive data visualizations and dashboards using D3.js.
• Build high-performance components in C and Python for system integration.
• Utilize H2O for automated machine learning and model deployment.

Required Skills

• 15+ years of experience in data science and software engineering.
• Expert-level proficiency with H2O (mandatory).
• Strong hands-on experience with TensorFlow and PyTorch.
• Deep understanding of distributed computing with Apache Spark.
• Experience with streaming data platforms like Apache Kafka and Apache Flink.
• Proficiency in data visualization using D3.js.
• Strong programming skills in C, Python, and SQL.

Preferred Skills

• Experience deploying ML models in cloud environments.
• Background in full-stack development supporting data products.

Key Skills

Education

Any Graduate