Data Engineering Specialist

2 weeks ago

Gandhinagar, Gujarat, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Summary

As a leading Data Science professional, you will play a key role in driving AI-first solutions and developing cutting-edge technologies.

  • Drive the development of innovative AI solutions that excel in real-world use cases.
  • Collaborate with cross-functional teams to ensure comprehensive AI solutions meet client requirements.
  • Stay up-to-date with the latest trends in AI technologies and provide technical leadership to execute large-scale, complex search solutions.
  • Attract and recruit top talent in the domain of Information Extraction.
Key Responsibilities
  • Develop and implement AI-based solutions using Python and other relevant technologies.
  • Design and maintain large-scale, complex search solutions using HuggingFace and Langchain libraries.
  • Build and optimize AI models for performance and scalability.
  • Create and maintain training data from large knowledge bases consisting of semantic relationships.
  • Experience with NLP libraries like nltk, spacy, genism, etc, and programming languages commonly used in AI development, such as Python.
Requirements
  • Bachelor's degree in computer science, computer engineering, or a related technical discipline.
  • 2-10 years of software development experience with creating AI solutions.
  • High proficiency and experience in ML, NLP/NLU, Computer Vision, Narrow LM (BERT), General LLM, Gen AI.
  • Good hold over unsupervised learning, supervised learning, reinforcement learning, and generative models.
  • Advanced knowledge of the HuggingFace (transformers, tokenizers, accelerate) and Langchain libraries.
  • Expertise in programming languages commonly used in AI development, such as Python and proficiency in libraries like NumPy and Pandas.
Preferred Qualifications
  • Technical depth and business acumen.
  • Experience with multilingual NLP.
  • A willingness to dive deep, experiment rapidly, and drive results.
  • Exceptional customer relationship skills, including the ability to understand common technical requirements from multiple feature requests and lead engineering efforts to meet timelines with optimal solutions.
  • Experience with Agile/Lean (Kanban, SCRUM), http / REST services, Linux.

Proven experience mentoring and training the engineering community on complex technical issues.

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