AI Model Developer

1 day ago

Bengaluru, Karnataka, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,49,99,999
Job Description

We are seeking an experienced Artificial Intelligence Engineer to join our team in Mumbai for a challenging role that involves building and deploying AI/ML models for real-world applications.

The ideal candidate will have hands-on experience in designing, developing, and deploying AI/ML models, working with Large Language Models (LLMs), optimizing pipelines, and contributing to scalable AI solutions.

Key Responsibilities
  • Design and develop AI/ML models for real-world applications.
  • Work on LLMs, Natural Language Processing (NLP), computer vision, and predictive analytics.
  • Optimize ML pipelines for performance and scalability.
  • Collaborate with cross-functional teams including developers, data engineers, and product managers.
  • Stay updated with advancements in AI/ML and suggest improvements for implementation.
  • Conduct experiments, validate results, and integrate solutions into production.
  • Troubleshoot, monitor, and improve deployed models.
Required Skills and Qualifications
  • 3–7 years of experience in AI/ML engineering roles.
  • Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience working with LLMs and fine-tuning large models.
  • Strong knowledge of ML pipelines, data preprocessing, and deployment frameworks (e.g., Docker, Kubernetes, FastAPI).
  • Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployment.
  • Good understanding of software development practices, Git, CI/CD.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
Benefits

Our company offers an exciting opportunity to work on cutting-edge AI projects, an onsite role in Mumbai for a collaborative experience, and a dynamic work culture with growth opportunities.

Join us and be part of a talented team that is passionate about innovation and excellence.

Others

Preferred candidates will have experience in MLOps and model monitoring, exposure to vector databases and AI-driven search systems, and prior work in enterprise AI projects.

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