Advanced AI/ML Model Developer

7 hours ago


Varanasi, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 30,00,000
Job Description

We are seeking an exceptional AI/ML Engineer to join our team in developing and optimizing advanced AI/ML models for computer vision, generative AI, audio processing, predictive analysis, and NLP applications.

The successful candidate will be responsible for designing, training, and fine-tuning AI/ML models using naval-specific data and delivering end products that meet the highest standards of quality and reliability.

The engineer will also be expected to preprocess, label, and augment datasets, implement quantization, pruning, and compression techniques for deployment-ready AI applications, and collaborate with Backend Engineers for integration via standard formats.

In addition, the successful candidate will generate reusable inference modules that can be plugged into microservices or edge devices, maintain reproducible pipelines, and ensure seamless interoperability with other AI modules.

Required Skills and Qualifications

Essential Requirements:

  • Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, Statistics, or a related field with excellent academic record.
  • Minimum 75% marks or 8.0 CGPA in relevant engineering disciplines.

Desired Specialized Certifications:

  • Professional ML certifications from Google, AWS, Microsoft, or NVIDIA.
  • Deep Learning Specialization.
  • Computer Vision or NLP specialization certificates.
  • TensorFlow/PyTorch Professional Certification.

Benefits

This role offers opportunities for growth and development in a dynamic and innovative environment.

The successful candidate will have the chance to work on cutting-edge projects, collaborate with talented professionals, and contribute to the development of state-of-the-art AI/ML solutions.

We offer a competitive compensation package and a range of benefits to support the well-being of our employees.

Others

The ideal candidate will have hands-on experience with at least two major AI domains, experience deploying models in production environments, contribution to open-source AI projects, and leadership experience in developing multiple end-to-end AI products.

A strong track record of optimizing models for real-time applications, mentoring technical teams, and cross-platform model deployment is highly desirable.



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