Senior Artificial Intelligence Developer

1 day ago

Coimbatore, Tamil Nadu, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 25,00,000

About the Role:

">AI Engineering Opportunities

We are seeking a skilled AI Engineer to join our team in Mumbai. This role involves building, deploying, and optimizing artificial intelligence and machine learning models, focusing on natural language processing, computer vision, and large language models.

The ideal candidate should have a strong foundation in Python programming language, deep learning frameworks like TensorFlow or PyTorch, and practical experience in developing AI systems. You will collaborate closely with cross-functional teams including data scientists, backend engineers, and product managers to create scalable, production-ready AI solutions.

Key Responsibilities:

  • Design and develop AI/ML models tailored to business needs.
  • Build, fine-tune, and deploy large language models or other deep learning architectures.
  • Collaborate on data collection, preprocessing, and model evaluation.
  • 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 machine learning 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:

  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Professional development and growth opportunities.

Others:

  • Exposure to vector databases, prompt engineering, or LangChain is a plus.
  • Experience in deploying models to production environments is desirable.
  • Knowledge of data pipeline tools (Airflow, Kafka, etc.) is beneficial.

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