Data Analytics(NLP) Lead Engineer
Job Description

Key Responsibilities:

  • Excellent understanding of data mining , machine learning techniques & algorithms, Deep learning, NLP and computer vision
  • Good knowledge of Tensorflow, PyTorch, NLTK, Transformer models, LLMs and its application, Present state-of-art NLP & CV techniques, SQL
  • Strong coding experience: Python, Java, JavaScript, C/C++ etc.
  • Broad set of technical skills and expertise in Deep learning focused on cutting edge technologies such as IoT, artificial intelligence (AI), and cloud computing.
  • Familiar with IoT framework and experience in implementing algorithms in any of the cloud-based platforms – Azure, PTC, AWS.
  • Fluent English (both written and spoken), solid technical writing, presentation and communication skills.
  • Good understanding of control systems
  • Responsible for designing experiments, testing hypotheses, and developing models.
  • Conducts data analysis and design algorithms.
  • Communicates with team to identify business requirements and expected oCarrieromes.
  • Works with business analysts to recommend suggestions of products for clients.
  • Selects relevant sources of information through the suggestions of subject matter experts.
  • Responsible for identifying client analytics problems and developing solutions to achieve results.
  • Performs experimental design approaches to validate findings or test hypotheses.
  • Responsible for identifying the appropriate algorithms to discover patterns.
  • Responsible for making moderate improvements of processes, systems or products to enhance performance of work area.
More Info
Job Type

Full Time,Permanent

Industry

Software

Roles

Data Analytics(NLP) Lead Engineer

Skills
Education

B.Sc

Similar job