AI Systems Designer

3 days ago

Thiruvananthapuram, Kerala, India beBeeMachineLearningEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Machine Learning Engineer Role

We are looking for a highly skilled Machine Learning Engineer to lead the development of advanced AI and ML solutions.

Key Responsibilities:
  • Design, develop, and deploy scalable and efficient machine learning models in cloud environments.
  • Collaborate with cross-functional teams to implement machine learning models into production, ensuring seamless integration with existing infrastructure.
  • Develop and maintain high-quality code, following industry best practices and adhering to coding standards.
  • Implement and optimize data pipelines, ensuring accurate and timely data processing.
  • Conduct thorough testing and validation of machine learning models, ensuring their accuracy and reliability.
  • Continuously learn and stay up-to-date with the latest advancements in machine learning technologies, techniques, and tools.
  • Participate in code reviews, providing constructive feedback and suggestions for improvement.
  • Maintain and enhance the overall quality of the engineering team's work.

Requirements:

  • Deep understanding of machine learning concepts, including types of algorithms, model efficiency metrics, and model life-cycle.
  • Proficiency in programming languages such as Python, with experience in popular libraries and frameworks like TensorFlow or PyTorch.
  • Strong background in software engineering principles, including design patterns, architecture, and testing.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with cloud-based platforms, particularly Google Cloud Platform (GCP).
  • Excellent communication and collaboration skills, with the ability to effectively convey complex technical ideas to both technical and non-technical stakeholders.

Nice to Have:

  • Experience with DevOps tools and methodologies, including continuous integration and deployment (CI/CD) pipelines.
  • Familiarity with agile development methodologies, such as Scrum or Kanban.
  • Knowledge of database management systems, including data modeling and schema design.

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