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Urgent! StatusNeo- Python+AI Engineer Job Opening In Gurugram – Now Hiring Nexthire

StatusNeo Python+AI Engineer



Job description

Job Title: AI Engineer

Experience:  4+ Years
Location:  Gurgaon (On-site – 5 Days a Week)
Employment Type: Full-Time

About the Role:

We are looking for a highly experienced and driven AI Engineer with a strong background in Generative AI, Large Language Models (LLMs) , and machine learning systems .

This is a critical role where you will help design, build, and optimize advanced AI/ML solutions that power intelligent products and platforms.

As a senior member of the AI team, you will work on state-of-the-art NLP models, contribute to the architecture of GenAI systems, and bring research to production in a fast-paced and collaborative environment.

Key Responsibilities:

  • Design and implement scalable AI/ML models, with a focus on LLMs and Generative AI use cases.

  • Fine-tune and deploy foundation models (e.g., GPT, LLaMA, Mistral) using Python and modern ML frameworks.

  • Lead research, experimentation, and prototyping of new ML algorithms and NLP approaches.

  • Collaborate with data scientists, MLOps engineers, and product teams to integrate AI capabilities into real-world applications.

  • Develop APIs and end-to-end ML pipelines for training, testing, and deployment.

  • Stay current with emerging trends in artificial intelligence and apply best practices in production environments.

Required Skills:

  • 9+ years of experience in Artificial Intelligence , Machine Learning , and Python programming .

  • Hands-on expertise in Generative AI and Large Language Models (LLMs) .

  • Strong knowledge of frameworks such as PyTorch , TensorFlow , and Hugging Face Transformers .

  • Experience with prompt engineering, fine-tuning, and inference optimization of LLMs.
  • Solid understanding of NLP, deep learning architectures, and model performance evaluation.

  • Experience working with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures.

  • Proven ability to translate complex research into scalable applications.

Good to Have:

  • Exposure to LangChain , OpenAI APIs , Anthropic Claude , or other commercial LLM ecosystems.

  • Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices (Docker, MLFlow, CI/CD).

  • Prior experience mentoring junior engineers or leading AI project teams.

  • Contributions to open-source AI projects or published research in the AI/ML domain.


Required Skill Profession

Other General



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