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AI Generalist

AI Generalist

Confidential - Financial Servicesbhopal, madhya pradesh, in
6 hours ago
Job description

Job Title : AI Generalist

Location : Mumbai

Experience : 4–6 years

Department : Technology & AI Innovation

Reports to : CTO

Type : Full-time

As an AI Generalist , you’ll be at the core of our AI transformation — designing, integrating, and deploying intelligent systems that make advisory smarter, faster, and more personal.

Role Overview

We’re looking for a hands-on AI Generalist who can bridge strategy, engineering, and experimentation. You’ll work on AI use cases across the business — building prototypes, fine-tuning models, integrating APIs, and delivering automation using both code and no-code tools.

You must understand how to turn an abstract business problem into a functioning AI workflow , not just how to run a model.

Key Responsibilities

  • Design and implement AI solutions using OpenAI, LangChain, Hugging Face, and similar frameworks.
  • Develop, test, and deploy automation workflows, chatbots, and recommendation systems across our investment and advisory platforms.
  • Integrate AI APIs (LLMs, NLP, ML models) into production environments with Python, Node.js, or REST APIs.
  • Fine-tune small to mid-size models (e.g., for sentiment analysis, recommendation, or portfolio classification).
  • Design and optimize prompts for various advisory and reporting tasks.
  • Work with data teams to clean and prepare datasets for training or evaluation.
  • Collaborate with product and engineering to embed AI into customer journeys, dashboards, and decision support tools.
  • Continuously evaluate and benchmark AI model performance and accuracy.
  • Research and experiment with emerging AI tools and techniques relevant to fintech and investment automation.
  • Ensure AI governance , explainability, and compliance alignment (especially for financial advice).

Required Skills

Technical Core :

  • Proficient in Python (pandas, NumPy, scikit-learn, FastAPI).
  • Familiar with LLM frameworks — OpenAI, LangChain, Hugging Face Transformers.
  • Understanding of AI / ML fundamentals — classification, clustering, regression, vector databases.
  • Experience building AI automations using APIs, no-code tools (Make, Zapier), or SDKs.
  • Working knowledge of cloud (AWS / Azure / GCP) for AI deployment.
  • Comfortable using embedding models and vector databases (Pinecone, FAISS, Chroma).

    • Applied AI Skills :

  • Hands-on experience designing prompt chains and evaluating LLM responses.
  • Ability to build quick prototypes (Streamlit / Gradio apps).
  • Experience using generative models for summarization, Q&A, and personalization.
  • Familiar with data preprocessing , feature extraction, and lightweight model tuning.

    • Soft / Strategic Skills :

  • Strong problem-solving and experimentation mindset.
  • Capable of taking ownership from idea → working demo → production.
  • Excellent communication — can translate tech into business impact.
  • Curiosity-driven — always exploring new AI capabilities and trends.

    • Nice-to-Have

  • Experience in fintech / financial markets / advisory automation .
  • Familiarity with risk scoring, portfolio analytics, sentiment analysis .
  • Exposure to RAG (Retrieval Augmented Generation) and vector search.
  • Prior experience integrating LLMs into chatbots, dashboards, or CRM tools .
  • Basic understanding of data privacy, model security, and compliance frameworks .

    • Education

  • B.Tech / M.Tech / M.Sc. in Computer Science, Data Science, or related field
  • Certifications in AI / ML or LLM development preferred (but not mandatory)
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