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    Lead - Machine Learning - Bangalore, India - GeekTrust

    GeekTrust
    GeekTrust Bangalore, India

    2 days ago

    Default job background
    permanent Technology / Internet
    Description

    About the company :

    Tesco PLC is a British multinational groceries and general merchandise retailer headquartered in Welwyn Garden City, England.

    In 2011 it was the third-largest retailer in the world measured by gross revenues and the ninth-largest in the world measured by revenues.

    Skill Sets :

    - Understanding of Data Structures, Data Modeling, and Software Architecture.

    - Strong ML fundamentals and understanding of model architectures and operations.

    - Ability to architect software and ML systems at scale.

    - Experience in Data Engineering.

    - Knowledge of various ML and Deep Learning algorithms and techniques.

    - Proficiency in Python scientific computing libraries.

    - Experience with implementing ML workflows in the cloud.

    - Familiarity with container technologies like Docker and Kubernetes.

    - Excellent communication skills.

    - Collaboration with product, design, and backend engineering teams.

    - Enthusiastic about learning new skills and technologies.

    Responsibilities :

    Software and ML System Architecture :

    Design and architect software and machine learning systems at scale, considering factors such as performance, scalability, and reliability.

    Define system architectures that support large-scale data processing and machine learning workflows.

    Data Engineering :

    Lead data engineering efforts to build robust data pipelines, ETL processes, and data warehouses.

    Design and optimize data storage, retrieval, and transformation mechanisms to support machine learning workflows and analytics.

    Machine Learning Development :

    Develop and implement advanced machine learning algorithms and models to solve complex business problems.

    Apply various ML and deep learning techniques to analyze large datasets and derive actionable insights.

    Model Architectures and Operations :

    Design and deploy machine learning models at scale, ensuring efficient model training, inference, and monitoring.

    Implement model architectures that are optimized for performance, accuracy, and interpretability.

    Cloud-Based ML Workflows :

    Develop and implement machine learning workflows in cloud environments such as AWS, Azure, or Google Cloud Platform.

    Utilize cloud-based ML services and platforms to streamline model development, deployment, and management.

    Collaboration and Leadership :

    Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to define requirements, prioritize tasks, and deliver solutions.

    Provide technical leadership and mentorship to junior team members.

    Research and Innovation :

    Stay updated on the latest advancements in machine learning, deep learning, and data engineering technologies.

    Explore new algorithms, techniques, and tools to drive innovation and improve our ML capabilities.

    Requirements :

    Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.

    Advanced degree (Master's or Ph.D.) preferred.

    10 to 20 years of experience in machine learning, data engineering, and software architecture. Strong understanding of data structures, data modeling, and software architecture principles.

    Solid fundamentals in machine learning, with expertise in various ML and deep learning algorithms and techniques.

    Experience architecting and building scalable software and ML systems.

    Proficiency in Python and Python scientific computing libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch).

    Experience with cloud platforms and services for implementing ML workflows (e.g., AWS SageMaker, Azure ML, Google Cloud AI Platform).

    Excellent problem-solving skills and analytical thinking.

    Strong communication and collaboration abilities, with the ability to work effectively in a team environment.

    Demonstrated leadership skills and ability to mentor and coach junior team members.

    )
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