Machine Learning Engineer Required in Germany - Hyderabad, India - Donivia Overseas Pvt. Ltd.

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    Description

    Call/WhatsApp: Mr. Karan)

    Work Location: Germany/Canada/Netherlands/Singapore & Australia

    About us

    Donivia Overseas is part of Donivia Group which caters immigration, manpower, apparel, Logistics, textiles, business consulting, digital marketing and education. Our branches or subsidiaries are located at Saudi Arabia, UAE, Singapore and UK along with head office in India. Donivia Overseas specialize in end-to-end facilitation of global mobility for skilled workers, bridging talent with opportunity. We do exhaustive personal and professional background assessments and document verification.

    We are looking for Passionate and hard-working Machine Learning Engineers who want to live and work in Germany/ Canada/ Netherlands/ Singapore or Australia region under Work and PR Visa.

    The ideal candidate will be responsible for designing, implementing, and maintaining machine learning models and systems. They will collaborate with cross-functional teams to understand business requirements, optimize algorithms for accuracy and efficiency, and stay updated with the latest advancements in machine learning technologies.

    Responsibilities

    • Gather and clean datasets for machine learning model training.
    • Perform data normalization, feature engineering, and handle missing values.
    • Design and develop machine learning models based on business needs.
    • Select appropriate algorithms and optimize hyperparameters for model performance.
    • Write code in Python, R, or Java to implement machine learning algorithms.
    • Utilize frameworks like TensorFlow, PyTorch, or Scikit-learn for model development.
    • Evaluate model performance using metrics such as accuracy, precision, and recall.
    • Conduct cross-validation and hyperparameter tuning to improve model accuracy.
    • Monitor model performance in real-time and detect anomalies or drifts.
    • Integrate models with existing systems using APIs and containerization tools like Docker.
    • Collaborate with data scientists, software engineers, and stakeholders.
    • Communicate technical insights and align machine learning solutions with business objectives.
    • Stay updated with the latest machine learning techniques and tools.

    Qualifications

    • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field with 5+ years of applied Machine Learning experience
    • Certifications in machine learning, data science, or related fields
    • Demonstrated proficiency in programming languages and machine learning frameworks through projects, portfolios, or coding assessments.
    • Strong verbal and written communication skills
    • Willingness to stay updated with the latest advancements in machine learning
    • Knowledge of statistical techniques and methods for data analysis and model evaluation.
    • Ability to clean, preprocess, and transform data for machine learning tasks, including feature engineering and handling missing values.

    In case of quick response from the concerned team, Email your CV and reason for relocation at