AI Engineering Professional

4 days ago


Gulbarga, Karnataka, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 25,00,000

We are seeking a seasoned AI Engineering Professional to contribute their expertise in building and deploying artificial intelligence and machine learning systems.

About the Role:

This position involves designing, developing, and fine-tuning advanced AI/ML models, with a focus on natural language processing, computer vision, and large language models.

The ideal candidate will have a strong foundation in Python, deep learning frameworks such as TensorFlow or PyTorch, and hands-on experience in creating scalable AI solutions.

Key Responsibilities:
  • Design and develop custom AI/ML models tailored to business needs
  • Build, optimize, and deploy large language models or other deep learning architectures
  • Collaborate with cross-functional teams to collect, preprocess, and evaluate data for model development
  • Optimize models for performance, scalability, and real-time inference
  • Integrate AI solutions with existing platforms and APIs
  • Stay up-to-date with the latest advancements in AI and machine learning
Required Skills and Qualifications:
  • 3+ years of experience in AI/ML engineering
  • Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn
  • Experience working with large language models, NLP, computer vision, or related domains
  • Understanding of MLOps practices and tools (Docker, MLflow, CI/CD pipelines)
  • Hands-on experience with REST APIs and backend integration
  • Solid problem-solving and communication skills
  • Ability to work independently in an onsite environment
Benefits:
  • Exposure to cutting-edge technologies and methodologies
  • Opportunity to work on diverse and challenging projects
  • Collaborative and dynamic work environment
What We're Looking For:
  • Candidates with a strong passion for AI and machine learning
  • Individuals who can think critically and creatively
  • Team players with excellent communication skills


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