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Gurgaon

    AI/ML Engineer - Gurugram, India - Maruti Suzuki India Limited

    Maruti Suzuki India Limited
    Maruti Suzuki India Limited Gurugram, India

    Found in: Talent IN C2 - 2 days ago

    Default job background
    Full time
    Description

    Work Experience (Years) -: 3yrs-7 yrs

    Hiring Qualification- B.Tech/ BE

    Job Responsibilities:

    · Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations.

    · Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc

    · Collaborate with software engineers to integrate Generative AI models into production systems

    · Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood.

    · Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution

    · Should be able to work on structured as well as unstructured data

    · Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production

    · Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred)

    · Should have working knowledge on managing ModelOps framework

    · Should understand CI/CD processes in product deployment and used it in delivery.

    · Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy

    · Should be able to take complete ownership of the assigned project

    · Experience of working in Agile environments

    · Well versed with JIRA or equivalent project tracking tool"

    Competencies / Skills:

    · Understanding of AI/ML frameworks,LLM libraries, data structures, data modeling, and software architecture.

    · Proficiency with a deep learning framework such as TensorFlow, Keras, NLP and text analytics and ML algorithms like clustering, regression, classification etc

    · Proficiency with Python and basic libraries for machine learning such as scikit-learn, pandas

    · Experience working with recommendation engines, data pipelines and distributed machine learning

    · Ability to select hardware to run an ML model with the required latency

    · Knowledge of cloud platforms (AWS, Azure and GCP)

    · Great communication and collaboration skills."

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