Advanced AI Systems Developer

7 days ago

Pune, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 17,54,000 - ₹ 25,13,200
Artificial Intelligence Engineer

The role of Artificial Intelligence (AI) Engineer is to develop and deploy advanced AI solutions that incorporate Machine Learning, Natural Language Processing, and emerging technologies like Generative AI and Large Language Models.

This position involves collaborating with data scientists, ML engineers, and product teams to translate business needs into scalable AI systems. The successful candidate will focus on implementing AI solutions that drive innovation and growth within the organization.

Key Responsibilities:

  • Support the execution of AI deliverables aligned with AI strategies.
  • Contribute to the development of custom AI models for batch and stream processing-based AI pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), and NLP/LLM model development.
  • Collaborate with data scientists, machine learning engineers, and software engineers to integrate AI models into production systems.
  • Stay current with emerging AI technologies and recommend innovative approaches.
  • Apply best practices in data privacy, security, and biases in AI systems.

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant experience.
  • Professional experience in AI model development.
  • Demonstrated ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
  • Demonstrated ability to learn new technologies.
  • Demonstrated understanding of ethical considerations in AI systems.
  • Strong analytical and problem-solving skills with understanding of AI techniques.

Preferred Qualifications:

  • Experience deploying Generative AI solutions at scale.
  • Experience fine-tuning Large Language Models, Small Language Models, teacher-student frameworks, and model distillation.
  • Familiarity with human-in-the-loop methods for aligning Large Language Models with human preferences.
  • Familiarity with agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

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