Lead Artificial Intelligence Engineer - Bangalore, India - SWAI TECHNOLOGIES PRIVATE LIMITED

    SWAI TECHNOLOGIES PRIVATE LIMITED
    SWAI TECHNOLOGIES PRIVATE LIMITED Bangalore, India

    2 weeks ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description :

    Skills and Qualifications :

    10 or more years of experience in software engineering, with at least 4 years of experience in applying AI to practical and comprehensive technology solutions and developing, and deploying machine learning systems into production.

    Masters degree in computer science and engineering, or equivalent.

    Hands-on developer with experience in a breadth of programming languages, technology domains, and platforms.

    Should be able to showcase achievements in hackathons, Kaggle competitions, GitHub projects, research papers, blogs, and similar.

    Experience and proficiency with multiple AI tools, ML, deep learning, TensorFlow, Keras, Python, Java, R, NLP, OpenAI, GPT, LLMs, Spark, sci-kit-learn.

    Knowledge of basic algorithms, object-oriented and functional design principles, and best- practice patterns.

    Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.

    Excellent written and verbal communication skills.

    Experience with at least one cloud provider solution (AWS, GCP, Azure)

    Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

    Industry experience building innovative end-to-end Machine Learning systems.

    Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.

    Experience working with distributed systems, service-oriented architectures, and designing APIs.

    Strong knowledge of data pipeline and workflow management tools.

    Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, and design documentation.

    Relevant working experience with Docker and Kubernetes is a big plus.

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