Data-Driven Innovator

3 days ago

Rajkot, Gujarat, India beBeeArtificial Full time ₹ 45,00,000 - ₹ 55,00,000

Transform Your Career with AI Engineering Expertise

About Us:

We are a leading technology firm specializing in innovative wealth and asset management solutions.

Our mission is to provide cutting-edge, unbiased advisory services while ensuring transparency and cost-efficiency.

Position: AI Engineer

Key Responsibilities:

  • Develop and deploy sophisticated machine learning models and pipelines for large-scale applications.
  • Implement NLP solutions using advanced algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot and Few-Shot learning techniques.
  • Apply Generative AI models to resolve complex business challenges.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Work with statistical and mathematical models to analyze intricate datasets.
  • Design and maintain RESTful APIs and microservices using Flask/FastAPI.
  • Manage the entire ML lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools.

Required Skills & Qualifications

Education:

  • Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics.
  • ML/Deep Learning/NLP Certification preferred.

Technical Expertise:

  • Programming: Python (DSA)
  • Machine Learning & Statistics: Strong knowledge of algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian methods, Mean-based approaches)
  • NLP: Zero-shot, Few-shot classification, TF-IDF, Word2Vec, BERT
  • Generative AI: OpenAI models, LLaMA, etc.
  • Databases: MongoDB & MySQL
  • Version Control: Git, Bitbucket
  • Microservices: Flask, FastAPI
  • MLOps: AWS, Jenkins, Docker/CircleCI
  • Project Management Tools: JIRA, Asana
  • REST APIs

Why Join Us?

  • 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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