AI Innovation Specialist

7 days ago


Kolkata, West Bengal, India beBeeInnovation Full time ₹ 25,00,000 - ₹ 30,00,000

About our organization:

We are a leading-edge financial services company, providing cutting-edge solutions to high-net-worth individuals and multi-family offices. We operate on three pillars of unbiased advice, transparency, and cost-efficiency.

With over $3 billion in assets under guidance, we have made significant strides since our inception. Our ideal candidate will possess expertise in building, deploying, and managing AI-driven solutions, along with a deep understanding of modern machine learning frameworks and cloud-based MLOps practices.

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 challenges.
  • 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.
  • Manage the AI 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 & Experience:

  • 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.

Preferred Qualities:

  • Strong problem-solving and analytical skills.
  • Ability to work independently as well as in a collaborative team environment.
  • Excellent communication skills to convey complex technical concepts.
  • Passion for staying ahead in the AI/ML space.

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