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    Machine Learning Engineer - Delhi, India - ValueLabs

    ValueLabs
    ValueLabs Delhi, India

    3 weeks ago

    ValueLabs background
    Description

    Artificial Intelligence/Machine Learning Specialist Job Description:
    We are seeking a highly skilled Artificial Intelligence/Machine Learning (AI/ML) Specialist to join our team.

    As an AI/ML Specialist, you will be responsible for developing, implementing, and optimizing AI/ML models and algorithms to solve complex business problems.

    You will collaborate closely with cross-functional teams to understand requirements, gather and preprocess data, train and evaluate models, and deploy AI/ML solutions.


    Responsibilities:

    • Develop, implement, and optimize AI/ML models and algorithms to solve complex business problems
    • Collaborate with stakeholders to understand requirements and translate them into technical specifications
    • Gather, preprocess, and analyze data to ensure its quality, relevance, and suitability for AI/ML tasks
    • Design and implement data pipelines and workflows for data ingestion, transformation, and feature engineering
    • Train, evaluate, and finetune AI/ML models using appropriate techniques and frameworks
    • Conduct thorough experiments and evaluations to measure and improve the performance of AI/ML models
    • Collaborate with software engineers to deploy AI/ML solutions into production environments
    • Monitor and maintain deployed AI/ML models, and troubleshoot any issues or performance degradation
    • Stay uptodate with the latest AI/ML research, techniques, and tools, and contribute to continuous improvement and innovation within the AI/ML team

    Requirements:

    • Minimum of 5 years of professional experience in AI/ML development or a related field
    • Strong understanding of AI/ML concepts, algorithms, and frameworks, such as TensorFlow, PyTorch, or scikitlearn
    • Proficiency in programming languages commonly used in AI/ML, such as Python or R
    • Experience with data preprocessing, feature engineering, and data visualization techniques
    • Familiarity with deep learning architectures, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs)
    • Knowledge of statistical analysis and experimental design principles for evaluating AI/ML models
    • Strong problemsolving and analytical skills, with the ability to understand and address complex business problems using AI/ML techniques
    • Excellent attention to detail and a strong commitment to quality and accuracy
    • Excellent communication and collaboration abilities, with the capability to work effectively in a team environment
    • Advanced degree in computer science, data science, or a related field is preferred, but not required

    Note:
    We need immediate joiners or who can join within 15 days.
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