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    Machine Learning Engineer - Hyderabad, India - Nilasu consulting

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    permanent Technology / Internet
    Description

    Summary :
    We are seeking a highly skilled and experienced Machine Learning Engineer to join our growing Data Science team.

    You will play a key role in designing, developing, and deploying machine learning models to solve real-world business problems across various domains like recommendation systems, customer segmentation, NLP (Natural Language Processing), and time series forecasting.


    Responsibilities :

    • Collaborate with data scientists and business stakeholders to understand business needs and translate them into technical requirements for machine learning solutions.
    • Explore, clean, and preprocess data from various sources (structured and unstructured) using Python and SQL.
    • Develop and implement machine learning models using supervised learning (e.g., classification, regression) and unsupervised learning (e.g., clustering, dimensionality reduction) techniques.
    • Build and deploy recommendation systems, customer segmentation models, NLP applications, and time series forecasting models (depending on project needs).
    • Utilize libraries like scikitlearn for traditional machine learning tasks and explore deep learning libraries like TensorFlow or PyTorch for complex problems (if applicable).
    • Integrate machine learning models into production pipelines and monitor their performance.
    • Effectively communicate technical concepts and present results to both technical and nontechnical audiences.
    • Stay uptodate with the latest advancements in machine learning and related technologies.

    Qualifications :

    • Master's degree in Computer Science, Statistics, Mathematics, or a related field (Bachelor's degree with relevant experience may be considered).
    • 7 to 9 years of experience in machine learning engineering or a related data science role.
    • Strong proficiency in Python programming and familiarity with data science libraries (scikitlearn, pandas, NumPy, etc.).
    • Working knowledge of SQL for data retrieval and manipulation.
    • Experience with applying supervised and unsupervised learning techniques to solve realworld problems.

    Preferred :
    Experience with NLP techniques and tools for text data analysis.

    • Experience with time series analysis and forecasting techniques.
    • Excellent analytical and problemsolving skills.
    • Strong communication and collaboration skills to work effectively with crossfunctional teams.
    • Ability to translate complex technical concepts into clear and concise language for nontechnical audiences.
    )


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