Senior Deep Learning Engineer

4 days ago

Salem, Tamil Nadu, India beBeeArtificialIntelligenceEngineer Full time ₹ 80,00,000 - ₹ 2,00,00,000

Job Title: Senior Deep Learning Engineer

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As a senior deep learning engineer, you will play a key role in designing and implementing cutting-edge AI systems that drive business growth. Your technical expertise and passion for innovation will be essential in developing scalable and efficient machine learning models that meet our clients' evolving needs.

Key Responsibilities:
  • Design and Implement AI Systems: Collaborate with cross-functional teams to design and implement AI-powered solutions that deliver tangible business value. Utilize your knowledge of deep learning frameworks (PyTorch, TensorFlow) and software engineering principles (Git, Docker) to ensure scalability and reliability.
  • Develop and Train Models: Develop and train large-scale machine learning models using popular libraries like OpenCV, Hub, and Transformers. Fine-tune VLMs and LLMs with custom datasets and leverage vector databases and prompt-engineering strategies to optimize performance.
  • Orchestrate Automated ML Pipelines: Use Kubeflow or MLflow to orchestrate automated machine learning pipelines, model registries, A/B rollout strategies, and monitoring dashboards. Ensure seamless integration with existing infrastructure and services.
Required Skills and Qualifications:
  • Deep Learning Expertise: Proven expertise in deep learning concepts, including convolutional neural networks, recurrent neural networks, and transfer learning.
  • Software Engineering Skills: Strong understanding of software engineering principles, including design patterns, testing, and version control.
  • Programming Languages: Proficiency in programming languages such as Python, C++, and Java.
  • Experience with Databases: Familiarity with relational and NoSQL databases, including data modeling, querying, and optimization techniques.
Benefits:
  • Competitive Salary and Benefits: Enjoy a competitive salary and benefits package, including health insurance, retirement plans, and paid time off.
  • Opportunities for Growth: Take advantage of opportunities for career growth and professional development, including training programs, mentorship, and networking events.
Others:
  • Collaborative Work Environment: Join a dynamic and collaborative team of engineers, researchers, and innovators who share your passion for AI and machine learning.
  • State-of-the-Art Infrastructure: Leverage cutting-edge infrastructure and tools to accelerate your work and stay ahead of the curve.

Keyword: ArtificialIntelligenceEngineer

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