Description

You will architect, lead, and contribute to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure.

Responsibilities

• Architect complex systems and make critical technical decisions for large-scale deployments.
• Lead cross-functional teams through hands-on technical design and problem-solving.
• Develop and integrate GenAI applications, ML models, and API architectures.
• Build and manage data engineering pipelines and cloud-native infrastructure.
• Maintain direct involvement in coding and technical implementation.

Required Skills

• 10+ years of hands-on technical experience in software engineering.
• 3+ years in a leadership role managing cross-functional teams.
• Extensive experience designing large-scale GenAI, API architectures, and data systems.
• Proficiency in Python, JavaScript, or Java.
• Experience building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy.
• Hands-on experience integrating ML models into GenAI applications.
• Experience with API development using RESTful APIs and GraphQL.
• Hands-on experience with GCP, Data Engineering, and DevOps.
• Background in designing ML pipelines and cloud-native applications.

Key Skills

Education

Any Graduate