Chief AI Innovation Specialist

15 hours ago


Surat, Gujarat, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 32,30,000
Job Overview:

We are seeking a skilled Artificial Intelligence Developer with expertise in Machine Learning, NLP, and Generative AI to join our innovative team.

Key Responsibilities:
  • Design, develop, and deploy machine learning models and pipelines for production-scale applications.
  • Implement NLP solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot, and Few-Shot learning techniques.
  • Apply Generative AI models to solve real-world business problems.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Work with statistical and mathematical models to analyze complex datasets.
  • Develop and maintain RESTful APIs and microservices using Flask/FastAPI.
  • Manage ML lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools.
  • Maintain source code repositories and ensure best practices for version control.
  • Work with databases to handle structured and unstructured data.
  • Participate in project management using tools like JIRA/Asana.
  • Stay up-to-date with advancements in AI/ML and contribute to innovation within the team.
Required Skills & Qualifications:
  • Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics.
  • ML/Deep Learning/NLP Certification preferred.
Technical Expertise (Must-Have):
  • Programming: Python.
  • Machine Learning & Statistics: Strong knowledge of algorithms.
  • NLP: Zero-shot, Few-shot classification, TF-IDF, Word2Vec, BERT.
  • Generative AI: OpenAI models.
  • Databases: MongoDB, MySQL.
  • Version Control: Git, Bitbucket.
  • Microservices: Flask, FastAPI.
  • MLOps: AWS, Jenkins, Docker/CircleCI.
  • Project Management Tools: JIRA, Asana.
  • REST APIs.
Benefits:
  • Opportunity to work on cutting-edge AI and Generative AI projects.
  • Exposure to end-to-end ML lifecycle and large-scale deployments.
  • Collaborative and innovative work culture.
  • Growth opportunities in leadership and advanced AI research.


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