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18 Deep Learning Jobs in Ahmedabad

AI Engineer

1-5 years

Ahmedabad

AI Engineer

IBM

posted 14d ago

Job Description

  1. AI Development and Implementation:
    • Design, develop, and deploy cutting-edge AI solutions using GenAI technologies.
    • Implement and optimize Large Language Models (LLMs) for natural language processing (NLP) applications.
    • Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making.
  2. Requirements Quality Management:
    • Integrate AI models with Requirements Management Software tool to ensure high-quality requirements management.
    • Develop custom AI algorithms to automate requirement validation, improve quality, and detect inconsistencies.
  3. Solution Optimization and Integration:
    • Fine-tune NLP models to align with domain-specific needs and improve accuracy.
    • Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows.
  4. Mentorship and Leadership:
    • Mentor junior developers on AI best practices, tools, and frameworks.
    • Lead brainstorming sessions to explore innovative AI applications and solutions.
  5. Research and Innovation:
    • Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems.
    • Conduct proof-of-concept projects to evaluate emerging technologies for business use cases.


Required education
Bachelor's Degree
Required technical and professional expertise
  • Programming Expertise:
    • Proficient in Python with demonstrated experience in AI and ML development.
  • GenAI and LLMs:
    • Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs).
  • NLP Skills:
    • Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding.
  • RAG Expertise:
    • Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems.
  • Tools and Frameworks:
    • Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar.

Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions.


Preferred technical and professional experience
  • DevOps and MLOps:
    • Knowledge of deploying AI models in production environments using MLOps best practices.
  • Data Engineering:
    • Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets.
  • Agile Methodologies:
    • Experience working in Agile development environments for iterative delivery.
  • Soft Skills:

Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.



Employment Type: Full Time, Permanent

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AI Engineer salary at IBM

reported by 73 employees with 1-6 years exp.
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₹11 L/yr - ₹43 L/yr
94% more than the average AI Engineer Salary in India
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