StatusNeo - ML Engineer

3 weeks ago

Gurugram, India Nexthire Full time

Job Title: ML Engineer

Experience: 9+ Years
Location: Bangalore (On-site – 5 Days a Week)
Employment Type: Full-Time

About the Role:

We are looking for a highly experienced and driven ML 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.

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