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1892 IBM Jobs

AI Engineer

IBM India Pvt. Limited

 · 

4.0

 based on 22.1k Reviews

2-7 years

Bangalore / Bengaluru

AI Engineer

IBM

posted 14d ago

Job Role Insights

Flexible timing

Key skills for the job

DevOps AWS Artificial Intelligence MLT Kubernetes Natural Language Processing

+ 9 more

Job Description


  • Design, develop, implement AI and Generative AI solutions to address business problems and achieveobjectives.
  • Gather, clean, and prepare large datasets to ensure readiness for AI model training
  • Train, fine-tune, evaluate, andoptimizeAI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.
  • Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity.
  • Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization.
  • Monitor andmaintaindeployed models, ensuring consistent performance and reliability in production environments
  • Stay up to date with the latest AI/ML advancements, exploringnew technologies, algorithms, and methodologies to enhance product capabilities.
  • Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.
  • Understand the IBM tool and model landscape and work closely with cross-functional teams toleveragethese tools, driving innovation and alignment.
  • Lead and mentor team members to improve performance.
  • Collaborate with operations, architects, and product teams to resolve issues and define product designs.
  • Exercise best practices in agile development and software engineering.Code, unit test, debug and perform integration tests of software components
  • Participatein software design reviews, code reviews and project planning.
  • Write and review documentation and technical blog posts.
  • Contribute to department attainment of organizationalobjectivesand high customer satisfaction


    • Required education
    Bachelor's Degree

    Preferred education
    Doctorate Degree

    Required technical and professional expertise
  • Minimum 6 years of hands-on experience developing AI-based applications using Python.
  • 2+ years in setting up CI/CD pipelines
  • 2+ years in DevOps practices, Kubernetes, helm charts
  • 2+ years of experience using deep learning frameworks (TensorFlow,PyTorch, orKeras)
  • Solid understanding of ML/AI concepts:EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring.
  • Familiarity with Natural Language Processing (NLP) techniques.
  • Deep understanding of Large Language Models (LLM) Architectures, theircapabilitiesand limitations.
  • Provenexpertisein integrating and working with LLMs to build robust AI solutions.
  • Skilled in crafting effective prompts to guide LLMs to provide desired outputs.
  • Hands-on experience with LLM frameworks such asLangchain,Langraph,CrewAIetc.,
  • Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy.
  • Proficient in microservices development using Python (Django/Flask or similar technologies).
  • Experience in Agile development methodologies
  • Familiarity with platforms like Kubernetes and experience building on top of the native platforms
  • Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).
  • Experience designing, building, andmaintainingdata processing systems working in containerized environments (Docker, OpenShift, k8s)
  • Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders


    • Preferred technical and professional experience
  • Experience in MLOPs frameworks (BentoML,Kubefloworsimilar technologies) and exposure to LLMOPs
  • Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization,leveragingNLPand integrating with backend systems and APIs.
  • Understanding of security and ethical best practices for data and model development
  • Contributions toopen sourceprojects

    • Employment Type: Full Time, Permanent

    Read full job description

    IBM Interview Questions & Tips

    Prepare for IBM AI Engineer roles with real interview advice

    Top IBM AI Engineer Interview Questions

    Q1. Chocolate Distribution Problem You are given an array/list CHOCOLATES of size 'N', where each element represents the number of chocolates i ... read more
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    What people at IBM are saying

    3.5
     Rating based on 2 AI Engineer reviews

    Likes

    Nothing is good, fooling employees

    Dislikes

    Everything is bad here

    • Salary - Bad
      • +6 more
    Read 2 AI Engineer reviews

    AI Engineer salary at IBM

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

    What IBM employees are saying about work life

    based on 22.1k employees
    78%
    84%
    66%
    79%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    IBM Benefits

    Work From Home
    Soft Skill Training
    Health Insurance
    Job Training
    Cafeteria
    Free Transport +6 more
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    IBM Bangalore / Bengaluru Office Locations

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    Bangalore / Bengaluru  (3)
    Bangalore Office
    Headquarter
    IBM India Pvt Ltd, No. 4/1, Tower D, 2nd & 3rd Floor, Dairy Circle, Bannerghatta Main Road Bangalore
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