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    Job · 10778939

    Impetus Capital logo

    Senior Analytics Engineer

    Impetus Capital · Noida · onsite · Posted 71d ago

    Not disclosedFresherfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    • Possess strong logical and analytical abilities in problem-solving and solution designing
    • Use case derivation and solution creation from structured/unstructured data
    • Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improvethe performance & capabilities of LLMs
    • Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
    • An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
    • Work closely with business and product management teams to develop and implement analytics solutions.
    • Communicate results to diverse technical and non-technical audiences.
    • Research and Innovation: Stay up to date with the latest advancements in the fields of AI

    Mandatory Skills

    Python, Scikit-Learn, Transformer, PyTorch, SQL, LangChain

    Model building, Hyperparameter tuning and Model performance metrics, Model Deployment of machine learning models

    Deep learning/LLM models finetuning and evaluation

    Good To Have Skills -

    LLMOps

    Cloud (AWS)

    • Possess strong logical and analytical abilities in problem-solving and solution designing
    • Use case derivation and solution creation from structured/unstructured data
    • Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve the performance & capabilities of LLMs
    • Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
    • An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
    • Work closely with business and product management teams to develop and implement analytics solutions.
    • Communicate results to diverse technical and non-technical audiences.
    • Research and Innovation: Stay up to date with the latest advancements in the fields of AI

    Sourced from foundit

    Skills

    LLM models finetuning and evaluationModel DeploymenttransformerLLMOpsHyperparameter TuningModel BuildingPytorchScikit-LearnPythonmodel performance metricsSQLDeep LearningLangchainCloud AWS

    Senior Analytics Engineer · waiting for your command