Senior AI Engineer

5 days ago

Noida Bengaluru Bangalore, India beBeeData Full time
Job Opportunity:

An advanced data scientist is sought to spearhead the development of innovative AI solutions.

  • Conduct in-depth research aligned to strategic roadmaps to mature and implement cutting-edge AI concepts into products, focusing on advancements in Generative AI, Causal AI, Knowledge Graphs, Machine Learning, and Deep Learning techniques.
  • Design and implement scalable AI-based solutions to tackle high-value, complex customer problems and drive growth opportunities.
  • Lead prototyping efforts for pilot programs, exploring new possibilities for R&D purposes.
  • Collaborate with cross-functional teams to develop data-driven solutions, leveraging analytics and machine learning expertise.
  • Responsible for problem analysis, stakeholder interaction, solution design, integration, maintenance, and support of data science and analytics solutions.
  • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
Key Qualifications:
  • Minimum 6 years of overall experience.
  • Minimum 4 years of relevant experience in data science-related product development.
  • Bachelor's or Master's degree in Engineering, Applied Mathematics, or a related field.
  • Strong analytics skills with the ability to assess data, extract insights, and make recommendations.
  • Experience manipulating data sets and building statistical models.
  • Strong problem-solving skills, with an emphasis on product development.
  • Experience supporting fast-paced engineering teams.
  • In-depth understanding of AI and ML trends, especially generative models and LLMs (Cloud and On-Prem).
  • Proficiency in programming languages and libraries.
Technical Expertise:
  • Cloud Platforms: AWS, Azure
  • Languages: Advanced Python, PySpark
  • Frameworks: Lambda, Django, Express
  • Databases: Postgres, MongoDB, Elasticsearch
  • Testing: Automated unit testing with PyTest
  • Hands-on experience in designing and developing performant, extensible applications.
Requirements:
  • Minimum 6 years of overall experience
  • Minimum 4 years of relevant experience in data science-related product development

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