Artificial Intelligence Systems Architect

17 hours ago

Noida, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Artificial Intelligence Systems Architect

About the Role

This is an exciting opportunity to lead the development and deployment of end-to-end machine learning solutions for biometric applications. As a key member of our team, you will drive the design of scalable and robust ML systems, ensuring modularity and portability across mobile and web environments.

We are looking for an experienced Machine Learning Engineer who can conduct and oversee ML experimentation, model evaluation, and A/B testing to determine model efficacy in real-world scenarios. You will also be responsible for implementing rigorous model validation frameworks to ensure reliability, fairness, and generalization of models.

In this role, you will collaborate with cross-functional teams to integrate models via RESTful APIs using FastAPI, ensuring smooth interaction with mobile, web, and backend systems. Additionally, you will benchmark and optimize edge performance on deployment targets such as TFLite (Android), CoreML (iOS), and WebAssembly (browser).

Your responsibilities will include maintaining clear documentation of system designs, experiment results, benchmarks, and APIs. You will also provide technical mentorship and participate in design/code reviews to uphold engineering best practices.

Key Responsibilities:
  • Design and deploy end-to-end machine learning solutions for biometric applications
  • Drive the development of scalable and robust ML systems
  • Conduct and oversee ML experimentation, model evaluation, and A/B testing
  • Implement rigorous model validation frameworks
  • Collaborate with cross-functional teams to integrate models via RESTful APIs
  • Benchmark and optimize edge performance on deployment targets
  • Maintain clear documentation of system designs and experiment results
Required Skills and Qualifications:
  • Strong experience in machine learning and artificial intelligence
  • Proven track record of designing and deploying scalable and robust ML systems
  • Expertise in conducting and overseeing ML experimentation, model evaluation, and A/B testing
  • Strong understanding of model validation frameworks and their implementation
  • Experience with RESTful APIs and integration with mobile, web, and backend systems
  • Knowledge of edge performance optimization on deployment targets
  • Excellent communication and teamwork skills
Benefits:

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you are passionate about machine learning and artificial intelligence, and have a strong desire to make a difference, we encourage you to apply.

Skills:

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