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Scoutit

Generative AI Engineer | Immediate Joiner

Actively Reviewing

Scoutit

Gurugram Full-Time 1–2 yrs exp Posted 2 days ago  · Apply by Sep 14, 2026
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Responsibilities

  • Develop and deploy AI models using machine learning, deep learning (CNNs, RNNs, LSTMs), and NLP (GPT, BERT).
  • Work with advanced AI frameworks (Langchain, AutoGen, Streamlit) and backend frameworks (FastAPI, Flask).
  • Implement reinforcement learning and autonomous decision-making systems.
  • Leverage cloud platforms (AWS: Bedrock, Sagemaker) for model deployment and scalability.
  • Integrate third-party services (OpenAI, Azure Foundry) and tools (RelevanceAI, Huggingface).
  • Work with databases (MongoDB, Postgres, Redis) and distributed systems.
  • Utilize advanced AI techniques like RAG, fine-tuning, LoRA, QLoRA, multi-model systems, and stable diffusion.
  • Explore AI applications in video generation models (text-to-video, image-to-video).

Skills Needed

  • Expertise in AI frameworks: Langchain, AutoGen, Streamlit.
  • Familiarity with FastAPI, Flask, and cloud platforms (AWS, Bedrock, Sagemaker).
  • Knowledge of third-party services (OpenAI, Azure Foundry) and tools (RelevanceAI, Huggingface).
  • Familiarity with databases (MongoDB, Postgres, Redis).
  • Proficient in machine learning, deep learning, NLP, and reinforcement learning.
  • Familiarity with advanced AI techniques: RAG, fine-tuning, LoRA, QLoRA, SLM, LLM, stable diffusion, and video generation models

(*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employer’s authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.)

Skills: azure,aws,models