Senior AI Model Developer

5 days ago

Noida, Uttar Pradesh, India beBeeArtificialintelligenceengineer Full time

Artificial Intelligence Engineer

We're seeking a seasoned AI professional to spearhead the design, development, and deployment of cutting-edge AI models and data-driven solutions for real-world projects. This role involves collaborating with stakeholders, creating innovative algorithms, and providing actionable insights to drive business decision-making.

Key Responsibilities:
  • AI Solution Development: Design, train, fine-tune, and evaluate generative AI models such as GPT, LLaMA, Stable Diffusion, and DALL-E.
  • Model Integration: Integrate foundational models and Retrieval-Augmented Generation (RAG) techniques to enhance model capabilities.
  • Full-Stack Implementation: Develop backend services and API endpoints to support AI solutions, and create frontend interfaces for user interaction.
  • Optimization: Optimize models for performance, latency, and cost within production environments.
  • Cross-Functional Collaboration: Work with product, research, and engineering teams to integrate GenAI capabilities, and mentor junior engineers.
  • Ethical AI: Ensure ethical and responsible AI practices are followed in model design and usage.
Qualifications:
  • A Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics/Statistics, or a related field.
  • Proven experience in machine learning, with a strong focus on generative AI.
  • Experience with GenAI use cases in the Chemical, Pharma, or Manufacturing industries is a plus.
Required Skills:
  • Technical Proficiency: Deep proficiency in Python for data handling and AI scripting.
  • Generative AI Expertise: Strong knowledge of prompt engineering techniques and familiarity with foundational generative AI models and Natural Language Processing (NLP).
  • Data Engineering: Experience with data pipeline development, ETL processes, and data preprocessing.
  • Modeling: Expertise in predictive modeling, including traditional supervised and unsupervised learning.
  • Software Development: Knowledge of testing frameworks and automated testing for QA processes.

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