Artificial Intelligence Engineer

7 days ago


Noida, Uttar Pradesh, India Redrob Full time
About Redrob

Redrob is a pioneering company that is revolutionizing the field of professional development with its groundbreaking AI platform. Backed by a substantial 4-million-dollar pre-seed investment from top venture capitalists in Korea, we are poised to redefine the way individuals and organizations connect.

We believe in nurturing talents and bridging the gap between industry demands and professionals' aspirations. Our mission is to create A-grade teams for organizations through seamless recruitment processes, ensuring candidates are not just academically proficient but also industry-ready.

Deep Learning Engineer Role

The Deep Learning Engineer will play a pivotal role in designing and optimizing machine learning models, with a focus on deep learning and large language models (LLMs) like GPT and BERT. Key responsibilities include developing custom algorithms, enhancing model performance, and building efficient data pipelines for large-scale training.

Ideal candidates bring strong expertise in deep learning frameworks, Python, and natural language processing (NLP). They should have a solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

Key Duties
  • Algorithm Design & Development: Research, design, and develop innovative algorithms to address complex challenges.
  • Large Language Model (LLM) Fine-Tuning: Fine-tune and customize large language models (LLMs) like GPT or BERT to suit unique use cases and business requirements.
  • Data Integration & Training: Oversee data collection, preprocessing, and integration to improve LLM performance.
  • Model Evaluation & Optimization: Analyze model performance through A/B testing and iterative improvement.
Salary Estimate

The estimated salary for this position ranges from $120,000 to $180,000 per year, depending on experience and location.

Requirements
  • Proven experience in deep learning model development and LLM fine-tuning.
  • Strong understanding of deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Proficiency in Python and familiarity with relevant ML libraries.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Solid understanding of natural language processing (NLP) and AI-driven solutions.


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