AI Engineer

2 days ago

Pune, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 30,00,000
AI Engineering Role in Mumbai

We are seeking an experienced AI engineer to join our team in Mumbai. This is an onsite role for immediate joiners.

The ideal candidate will have hands-on experience in building and deploying AI/ML models, working with LLMs, optimizing pipelines, and contributing to scalable AI solutions.

  • Design, develop, and deploy AI/ML models for real-world applications.
  • Work on LLMs, 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.

Key Responsibilities:

  • Model Development: Design, develop, and deploy AI/ML models for real-world applications.
  • LLM Experience: Work on Large Language Models (LLMs), NLP, computer vision, and predictive analytics.
  • Pipeline Optimization: Optimize ML pipelines for performance and scalability.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams including developers, data engineers, and product managers.
  • Advancements in AI/ML: Stay updated with advancements in AI/ML and suggest improvements for implementation.
  • Experimentation and Integration: Conduct experiments, validate results, and integrate solutions into production.
  • Model Improvement: Troubleshoot, monitor, and improve deployed models.

Required Skills:

  • AI/ML Experience: 3–7 years of experience in AI/ML engineering roles.
  • Programming Skills: Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • LLM Expertise: Experience working with LLMs and fine-tuning large models.
  • Deployment Frameworks: Strong knowledge of ML pipelines, data preprocessing, and deployment frameworks (e.g., Docker, Kubernetes, FastAPI).
  • Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployment.
  • Software Development Practices: Good understanding of software development practices, Git, CI/CD.
  • Problem-Solving Skills: Strong problem-solving skills and ability to work in a fast-paced environment.

Good to Have:

  • MLOps Experience: Experience in MLOps and model monitoring.
  • Vector Databases: Exposure to vector databases and AI-driven search systems.
  • Enterprise AI Projects: Prior work in enterprise AI projects.

Why Join Us?

  • Exciting Opportunities: Exciting opportunity to work on cutting-edge AI projects.
  • Dynamic Culture: Dynamic work culture with growth opportunities.

Apply Now

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