Data Scientist 2 Llm

7 days ago

Bengaluru Karnataka, India Spocto Full time

**Job Information**:
Company

**Spocto**

Date Opened

**02/25/2025**

Job Type

**Full time**

Work Experience

**3-6 years**

Industry

**Financial Services**

City

**Bangalore North**

State/Province

**Karnataka**

Country

**India**

Zip/Postal Code

**560002**

**About Us**:
Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility.

From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products

Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles.

**About the job**:
**Job Title: Data Scientist 2 (LLM/GenAI)**

**Location**: Bangalore

**Experience**: 2 - 4 years

**Employment Type**: Full-time

**Job Summary**:
**Key Responsibilities**:

- Build and optimize **conversational AI solutions** with **at least 1 year** of experience in chatbot development.
- Implement and experiment with **LLM agent development frameworks** such as **LangChain, LlamaIndex, AutoGen, and LangGraph**.
- Design and develop **ML/DL-based models** to enhance natural language understanding capabilities.
- Optimize and fine-tune transformer-based models such as **GPT, LLaMA, Falcon, Mistral, Claude, etc.** for domain-specific tasks.
- Develop and implement **prompt engineering techniques** and **fine-tuning strategies** to improve LLM performance.
- Research and stay up to date with the latest advancements in **LLM architectures, frameworks, and AI trends**.

**Required Skills & Qualifications**:

- **
2-4 years of experience** in Machine Learning (ML), Deep Learning (DL), and NLP-based model development.
- ** Hands-on experience** in developing and deploying conversational AI/chatbots is Plus
- Strong proficiency in **Python** and experience with ML/DL frameworks such as **TensorFlow, PyTorch, Hugging Face Transformers**.
- Experience with **LLM agent development frameworks** like **LangChain, LlamaIndex, AutoGen, LangGraph**.
- Knowledge of **vector databases** (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and **embedding models**.
- Understanding of **Prompt Engineering** and **Fine-tuning LLMs**.
- Familiarity with **cloud services (AWS, GCP, Azure)** for deploying LLMs at scale.
- Experience in working with **APIs, Docker, FastAPI**for model deployment.
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.

**Good to Have**:

- Experience with **Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.)**.
- Knowledge of **Knowledge Graphs** and **Symbolic AI**.
- Understanding of **MLOps** and **LLMOps** for deploying scalable AI solutions.
- Experience in **automated evaluation of LLMs** and **bias mitigation techniques**.
- Research experience or published work in **LLMs, NLP, or Generative AI** is a plus.

**Why Join Us?**
- Opportunity to work on cutting-edge **LLM and Generative AI projects**.
- Collaborative and innovative work environment.
- Competitive salary and benefits.
- Career growth opportunities in AI and ML research and development.

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