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NLP Engineer - Word Embedding Techniques

1 - 6 years

20 - 30 Lacs

Mumbai

Posted:2 months ago| Platform: Naukri logo

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Skills Required

NLP python exploratory data analysis eda word embedding data processing airflow pyspark machine learning opencv sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities Deep experience in Python and associated frameworks to develop robust and efficient code for machine learning models and data pipelines. Build infrastructure as code using tools such as Terraform or equivalent, ensuring scalable and reliable deployment of resources. Design and implement CI/CD pipelines using technologies like Tekton, Jenkins, GitActions, or GCP Cloud Functions, ensuring smooth and automated software delivery. Develop API services to enable seamless integration of machine learning models and pipelines into various applications and platforms. Take MVP/PoC solutions and elevate them to production-level services and mature products. Conduct end-to-end testing across all stages of development to ensure first-time-right implementations. Manage deployment platforms for various machine learning models, ensuring modularity and efficiency. Integrate machine learning features into large-scale products and platforms, collaborating with cross-functional teams. Create and manage large-scale data transformation pipelines, enabling efficient data processing and analysis. Orchestrate pipelines using tools like Airflow and Kubeflow, both for structured and unstructured data workflows. Develop an EDA (Exploratory Data Analysis) automation framework that can be leveraged at scale for data insights. Must-Have Skills Minimum of 3+ years of hands-on experience in Google Cloud Platform (GCP) with expertise in components such as Astronomer, SQL, Pyspark, Scikit, Github, and VertexAI, NLP, Open CV. At least 3+ years of experience in Python programming, with a strong understanding of its libraries and frameworks. Proven ability to convert complex requirements into practical technical solutions.

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