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    AI Engineer - Bengaluru, India - Chubb

    Chubb
    Default job background
    Insurance
    Description
    The Purpose of the role

    As a key member of the Advanced Analytics and Digital team, he/she will be at the foreftont of developing new innovative data driven solutions with bleeding edge machine learning algorithms.

    AI Data Scientist is a technical job that uses machine learning techniques to automate underwriting processes.

    This person will be working in a vibrant data science group, alongside data engineers, data analysts, architects, and code developers to develop these solutions and put them into production for the business.

    Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights.

    You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages.

    Responsibilities
    Work with business partners globally to define the scope of the project, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model
    Use broad spectrum of NLP, Machine Learning and deep learning techniques to extract impactful features from unstructured data
    Develop and implement models that help with automating the underwriting process; Ensure that the model is able to meet the desired KPIs post production
    Be a thought leader and generate ideas / novel approaches to business problems.
    Stay abreast of the developments in the rapidly changing field of AI and machine learning.
    Handle stakeholder requests and perform work with little to no assistance.
    Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise.
    Gain deeper understanding of Chubb's business and develop expertise on multiple lines of business.

    Required knowledge, Skills and qualifications

    understanding of ML concepts – Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models.

    years programming experience in Python, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries
    in visualization tools like Qlik, Power BI etc. will be an added advantage.
    have experience with data and machine learning services using Azure.
    have experience with Github and RESTful APIs
    Experience in Big data technologies will be an advantage.

    be able to work in a team setting to understand problems and map out solutions; Must have strong problem-solving skills.

    along with strong organization and time management skills is essential.
    be adept at research and must look to apply new methodologies to varied situations.
    communication and presentation skills
    possess an advanced degree in data science, business analytics, computers, statistics, mathematics or economics.
    with 5 to 10 years of work experience in a related space can apply for this role. Experience in BFSI domain will be added advantage.

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