8 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

🚀 Hiring: Senior Data Scientist – Generative AI (3.5–8 Years Exp.)


Senior Data Scientist


🔍 Role Overview

As a key individual contributor, you will:

  • Research, design & build

    advanced generative AI models

    (LLMs, diffusion, multi-agent systems).
  • Own AI projects end-to-end: ideation → PoC → scalable deployment → monitoring.
  • Develop

    high-performance ML/DL models

    using state-of-the-art architectures.
  • Work on

    RAG pipelines, agent orchestration, fine-tuning, computer vision, and optimization

    .
  • Collaborate with cross-functional teams to deliver production-grade AI systems.


🧠 Technical Skills You’ll Need

💻 Programming & Frameworks

  • Python (advanced), multiprocessing/async programming
  • PyTorch, TensorFlow, JAX
  • HuggingFace Transformers/Diffusers
  • LangChain, LangGraph, LlamaIndex, Semantic Kernel
  • MLOps: MLflow, W&B, Kubeflow
  • CUDA, CuPy, CuGraph


🤖 Generative & Agentic AI

  • RAG (standard, graph-based, vector DBs like FAISS, Pinecone, Weaviate, Milvus)
  • Multi-agent orchestration (LangGraph, AutoGen, Semantic Kernel)
  • Fine-tuning diffusion models (Stable Diffusion, Flux.1, ControlNet, DreamBooth)
  • LLM fine-tuning (LoRA, QLoRA) on Llama3, Mistral, CodeLlama, Falcon, Gemma
  • Advanced prompt engineering & function calling


📊 ML & Deep Learning

  • XGBoost, LightGBM, CatBoost, clustering, PCA/UMAP
  • CNNs, RNNs/LSTMs, Transformers (BERT, ViT, GPT)
  • GNNs (GraphSAGE, GAT), Time-series (Prophet, TFT)
  • RL: PPO, DQN, RLHF


👁️ Computer Vision

  • YOLO (v5–v8), DETR, Faster R-CNN
  • OCR: PaddleOCR, Tesseract, EasyOCR, LayoutLM
  • Video analytics: DeepSORT, ByteTrack
  • Multi-modal: CLIP, BLIP, SAM, Florence-2


⚙️ Optimization & Deployment

  • TensorRT, ONNX, quantization, pruning, distillation
  • Docker, Kubernetes, REST/gRPC APIs
  • Azure ML, Azure OpenAI, App Services
  • Monitoring: Prometheus, Grafana, Azure Monitor, ELK


🎓 Qualifications

  • Bachelor’s or Master’s in Computer Science or related field
  • 3.5–7 years experience in ML/AI with proven end-to-end solution delivery
  • Strong fundamentals in ML/DL, optimization, modeling
  • Experience deploying production-level ML/LLM solutions
  • Publications, open-source contributions, or patents are a plus
  • Excellent analytical, debugging & problem-solving skills


📩 Interested? Apply Now!

Join us to build next-gen AI systems that shape the future.


deepika.balijepally@eminds.ai

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Enterprise Minds, Inc

Information Technology

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