Transformative AI Specialist

4 days ago


Jamnagar, Gujarat, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
About Our Role

We're seeking an experienced and versatile AI Developer who can navigate the breadth of the AI space with confidence.

The ideal candidate should have hands-on expertise in Generative AI, along with the acumen to choose between NLP, computer vision, classical machine learning, or data pipelines depending on the problem at hand.

This role revolves around crafting practical, scalable AI solutions that address real business challenges. You'll be involved in every stage of the lifecycle, from data preparation and model training to deployment, ensuring that our solutions are impactful and effective rather than experimental.

Key Responsibilities:

  • Designing, building, and integrating AI models with a focus on scalability, efficiency, and adaptability.
  • Supporting MLOps practices to help models transition smoothly from research to reliable production systems.
  • Handling key aspects of data preparation: cleaning, preprocessing, transformation, and validation.
  • Writing maintainable, high-quality code with reusability in mind.
  • Building APIs, pipelines, and prototypes that make AI solutions tangible and useful.
  • Collaborating with AI engineers, developers, and product owners to turn ideas into working systems.
  • Taking initiative in projects, contributing ideas, driving small experiments, and helping shape how we build solutions.
  • Staying current with the fast-moving AI ecosystem, including GenAI and beyond, and applying approaches that fit the problem.

Requirements:

  • A solid foundation in AI/ML, with hands-on experience in developing, integrating, and evaluating GenAI models.
  • Familiarity with multiple AI domains such as NLP, computer vision, recommendation systems, and classical ML.
  • Experience with one or more ML/DL frameworks: PyTorch, TensorFlow, or SciKit-learn.
  • Exposure to agentic AI systems (frameworks like LangChain, LlamaIndex, CrewAI, Agno) and evaluation of GenAI systems.
  • Strong data handling skills (exploration, cleaning, preprocessing).
  • The ability to prototype quickly and build simple APIs to demonstrate solutions.
  • A problem-solving mindset and strong communication skills, enabling you to explain not just how something works but also why it matters.

Nice to Have:

  • Experience applying AI to real-world projects (academic, internship, or professional).
  • Curiosity and adaptability to explore new tools, frameworks, and problem domains.


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