AI/ML Engineer – Core Algorithm and Model Expert

10 hours ago

Lucknow, Uttar Pradesh, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Job Opportunity

Job Description:

This is a high-level role that demands expertise in developing and optimizing AI/ML models for diverse applications, focusing on computer vision, generative AI, audio processing, predictive analysis, and NLP. The ideal candidate should possess deep knowledge of algorithm development, model deployment, and ensuring the scalability and modularity of AI solutions.

The key responsibilities include designing, training, fine-tuning, and optimizing AI models using naval-specific data, implementing quantization, pruning, and compression techniques, and integrating with backend engineers for seamless collaboration. Additionally, the engineer will be responsible for maintaining reproducible pipelines, collaborating with UI and backend teams for joint debugging, and ensuring cross-compatibility across various platforms.

Required Skills & Qualifications:

Essential Requirements:

  • B Tech/M.Tech in Computer Science, AI/ML, Data Science, Statistics or related field with exceptional 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.
Key Benefits:

Benefits of the Role:

  • Hands-on experience with at least 2 major AI domains.
  • Opportunity to deploy models in production environments.
  • Chance to contribute to open-source AI projects.
  • End-to-end ML pipeline development experience.
  • Collaborative environment for cross-functional team integration.
Others:

Additional Information:

  • Must possess strong foundation in transformer-based architectures (e.g., BERT, GPT, LLaMA, mT5, NLLB) and hands-on experience with pretraining and fine-tuning methodologies.
  • Proficiency in building multilingual and domain-specific translation systems using backtranslation, domain adaptation, and knowledge distillation.
  • Experience mentoring technical teams.

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