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Data Specialist

2 weeks ago


Bengaluru, Karnataka, India beBeeDataSpecialist Full time ₹ 1,04,000 - ₹ 1,30,878

Job Title: Data Specialist

Data Specialist Job Description

A Data Specialist is responsible for developing and implementing data-driven solutions to drive business growth. The ideal candidate will have a strong background in data science and experience working with AI technologies.

Required Skills & Qualifications
  • 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 machine learning, natural language processing (NLP) / natural language understanding (NLU), computer vision, narrow language models (BERT), general language models, and general artificial intelligence.
  • Good hold over unsupervised learning, supervised learning, reinforcement learning, and generative models.
  • Advanced knowledge of the HuggingFace (transformers, tokenizers, accelerate) and Langchain libraries.
  • Build, versioning, and maintaining AI models along with performance optimizations to run at scale.
  • Create and maintain training data from large knowledge bases consisting of semantic relationships.
  • Experience with other NLP libraries like NLTK, spaCy, Genism, etc.
  • Expertise in programming languages commonly used in AI development, such as Python, and proficiency in libraries like NumPy and Pandas.
Benefits

This role offers a unique opportunity to work on cutting-edge AI projects and collaborate with cross-functional teams to deliver comprehensive solutions. If you are passionate about AI and data science, this is an excellent chance to take your career to the next level.

Others

Proven experience mentoring and training the engineering community on complex technical issues. A willingness to dive deep, experiment rapidly, and get things done. 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.