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    Home/Jobs/AI/ML Engineer

    AI/ML Engineer

    Accenture

    Pune
    5-10 years
    Today
    ₹18–35 LPA
    Full-time
    Onsite

    Skills Required

    Python
    TensorFlow
    PyTorch
    Databricks
    PostgreSQL
    Git
    Docker
    Kubernetes
    Apache Kafka
    RabbitMQ
    Azure
    Azure DevOps
    GitHub Actions
    Jenkins
    Maven

    Description

    As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring high-quality standards are met. You will also explore innovative approaches to integrate generative AI models into various applications, contributing to advancements in deep learning, neural networks, and image processing.

    Role: AI / ML Engineer

    Location: Pune

    Experience:

    • 5-10 years of experience
    • Minimum 5 year(s) of experience is required

    Qualification:

    • 15 years full time education

    Role Focus:

    • Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality.
    • Be able to apply GenAI models as part of the solution.
    • Collaborate and manage the team to perform.
    • Responsible for team decisions.
    • Engage with multiple teams and contribute on key decisions.
    • Provide solutions to problems for their immediate team and across multiple teams.
    • Mentor junior team members to enhance their skills and knowledge.
    • Continuously evaluate and improve existing processes to increase efficiency.

    Nice to have:

    • Microsoft Azure DevOps

    More skills:

    Python (Programming Language), Maven/Gradle, Microsoft Azure(App Service, AKS, Azure SQL, Key Vault, Storage, Application Insights)

    Other:

    • Experience in Python development, Fast APIs-numpy, Pandas,Django etc
    • Familiarity with data preprocessing and feature engineering techniques
    • Knowledge of software development best practices, including version control and testing

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Deep Neural Networks with PyTorch

    Coursera

    Hands-on PyTorch from tensors to CNNs and transfer learning.

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