AI Development Specialist

21 hours ago

Kannur, Kerala, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview

The Artificial Intelligence Engineer will support the development and deployment of advanced AI solutions.

  • This role focuses on implementing solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies.
  • The engineer will work closely with data scientists, machine learning engineers, and product teams to translate business needs into scalable AI systems.
Essential Duties

Include, but are not limited to, the following:

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

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 as outlined in the essential duties.
  • Professional experience in AI/ML 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/ML techniques.
Preferred Qualifications

Desirable Skills and Qualifications:

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

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