Machine Learning Engineer

• Develop and maintain scalable, secure AI and machine learning applications using Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Design and implement machine learning models and algorithms to support AI-driven client applications, focusing on user interface interactions and AI-driven features.
• Integrate third-party AI/ML APIs and services into existing web applications.
• Deploy Transformer-based models into production and manage model lifecycle in cloud environments.
• Lead and participate in NLP and computer vision model development and provide constructive feedback to team members.
• Promote a data-driven, machine learning approach and consistently deliver AI enhancements.
• Work with cloud platforms (AWS, Azure, GCP, Databricks), Spark, and related AI libraries; ensure security and scalability.
• Collaborate with cross-functional teams to design innovative AI solutions and take personal responsibility for deliverables.

Senior AI/ML Engineer

LLM Engineer

GenAI & AgenticAI Tech Lead

AI/ML Engineer

Full-Stack AI Engineer