Data Science Analyst

7 days ago

Bengaluru, Karnataka, India Bean Hr Consulting Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role Overview

We seek a motivated Data Science analyst to design, implement, and optimize cutting-edge generative AI solutions. Youll work closely with senior engineers to build applications leveraging LLMs (e.g., GPT-4, Claude, Gemini), diffusion models, and multimodal systems while adhering to ethical AI practices. This will be a hands-on individual contributor role.

Key Responsibilities

  1. Model Development & Fine-Tuning

  2. Assist in developing, training, and fine-tuning generative models (text, image,code) using frameworks like PyTorch, TensorFlow, or JAX.

  3. Implement RAG (Retrieval-Augmented Generation) pipelines and optimize prompts for specific domains.

  4. Tooling & Integration

  5. Build applications using tools like LangChain, LlamaIndex, or Hugging Face Transformers.

  6. Integrate GenAI APIs (OpenAI, Anthropic, Mistral) into enterprise workflows.

  7. Prompt Engineering

  8. Design and test advanced prompting strategies (e.g., few-shot learning, chain-of-thought, ReAct frameworks) for domain-specific tasks (legal, healthcare, finance).

  9. Create reusable prompt templates for common workflows (customer support, code generation, content moderation).

  10. Evaluation & Optimization

  11. Develop metrics for hallucination reduction, output consistency, and safety alignment.

  12. Optimize model inference costs using quantization, distillation, or speculative decoding.

  13. Collaboration

  14. Work with cross-functional teams (product, data engineers, UX) to deploy AI solutions.

  15. Document technical processes and contribute to knowledge-sharing sessions.

Qualifications

  • Education: Bachelors/Masters in Computer Science, Data Science, or related field.

  • Technical Skills:

  • Proficiency in Python and familiarity with AI/ML libraries (PyTorch, TensorFlow).

  • Basic understanding of NLP (tokenization, attention mechanisms) and neural architectures (Transformers, GANs).

  • Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).

  • Proficiency in prompt engineering tools: LangChain, DSPy, Guidance, or LMQL.

  • Experience with AI deployment tools: FastAPI, Docker, or MLflow for model serving

  • AI/GenAI Exposure and experience with at least two of the following:

  • Hands-on projects with LLMs (fine-tuning, prompt engineering) or diffusion models.

  • Familiarity with vector databases (Pinecone, Milvus) and orchestration tools.
  • Fine-tuning/training LLMs (e.g., Llama 2, Mistral) using LoRA, QLoRA, or RLHF.
  • Building RAG pipelines with vector DBs (Pinecone, Weaviate) and embedding models (BERT, OpenAI text-embedding).
  • Developing applications with diffusion models (Stable Diffusion, DALL-E) or autoregressive architectures (GPT variants).

  • Contributions to NLP projects (sentiment analysis, NER, text summarization) using libraries like spaCy or NLTK.

  • Soft Skills:

  • Strong problem-solving abilities and curiosity about emerging AI trends.

  • Ability to communicate technical concepts to non-technical stakeholders.

Preferred Qualifications Additions

  • Certifications:

  • Azure: Microsoft Certified: Azure AI Engineer Associate.

  • GCP: Google Cloud Professional Machine Learning Engineer.

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