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    Home/Jobs/ML Engineer

    ML Engineer

    Vivid

    Pune
    2-3 years
    7 days ago
    ₹6–15 LPA
    Full-time
    Onsite

    Skills Required

    Python
    Java
    TensorFlow
    PyTorch
    Scikit-learn
    Hadoop
    Apache Spark
    Machine Learning

    Description

    As an AI Engineer you will play a crucial role in developing and implementing cutting-edge AI/ML solutions to solve complex problems and enhance our products/services. You will work closely with cross-functional teams to design, develop, and deploy AI models and algorithms.

    Role: ML Engineer

    Location: Pune, India

    Experience:

    • 2 to 2+ Years

    Key Skills:

    • Python
    • Java
    • TensorFlow
    • PyTorch
    • scikit-learn
    • Hadoop
    • Spark

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field

    Role Focus:

    • Research, design, and develop machine learning models and algorithms
    • Collect, preprocess, and analyze large datasets to extract meaningful insights
    • Implement and optimize AI solutions for scalability, performance, and reliability
    • Collaborate with product engineers to integrate AI capabilities into products and services
    • Stay updated with the latest advancements in AI and machine learning technologies
    • Evaluate and experiment with different AI frameworks, libraries, and tools

    Nice to have:

    • Experience with big data technologies (e.g., Hadoop, Spark)

    Other:

    • Excellent problem-solving and analytical skills
    • Effective communication and teamwork abilities
    • Proven experience in developing and deploying machine learning models and algorithms
    • Strong programming skills in languages such as Python, Java
    • Solid understanding of algorithms, data structures, and statistical methods

    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 Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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