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Advanced Machine Learning Solutions Developer

2 weeks ago

Agra, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We're seeking a seasoned Machine Learning Engineer to play a pivotal role in developing and deploying cutting-edge machine learning solutions.

The ideal candidate will possess a strong understanding of machine learning algorithms and libraries, as well as experience in designing, developing, and implementing machine learning models for various applications.

  • Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions.
  • Demonstrate expertise in deploying ML models to production environments.
  • Create high-performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders.
  • Integrate machine learning models seamlessly into existing production systems.
  • Monitor and evaluate model performance, retraining models automatically or periodically as needed.
  • Streamline existing ML pipelines to increase throughput and efficiency.
  • Identify and address security vulnerabilities in existing applications proactively.
About the Role

This is an exciting opportunity for a talented Machine Learning Engineer to join our team and contribute to the development of innovative machine learning solutions. The successful candidate will be responsible for designing, developing, and implementing machine learning models that drive business value.

The ideal candidate will have a strong background in machine learning, including experience with popular libraries such as TensorFlow and PyTorch. Additionally, they should have a good understanding of Azure ecosystem and be well-versed in NLP and Generative AI techniques.

As a key member of our team, the Machine Learning Engineer will work closely with data scientists, model developers, software engineers, and other stakeholders to deliver high-quality machine learning solutions that meet business requirements.

The selected candidate will also have opportunities to collaborate with cross-functional teams, participate in knowledge-sharing sessions, and contribute to the growth and development of the company's machine learning capabilities.