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    Data Scientist - Bangalore, India - Krishna Global Services Pvt. Ltd

    Krishna Global Services Pvt. Ltd
    Krishna Global Services Pvt. Ltd Bangalore, India

    1 day ago

    Default job background
    Technology / Internet
    Description

    Role : Data Scientist

    Location : Bangalore period : Immediate to 30 days

    Experience : 3-5 Yrs

    Key Responsibilities :

    1. Model Development: Design and implement ML models to tackle complex business challenges.

    2. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model

    features.

    3. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods.

    4. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.

    5. Deployment: Deploy ML models in production, monitor performance for reliability.

    6. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.

    7. Research: Stay updated on ML/AI advancements, contribute to internal knowledge.

    8. Documentation: Maintain comprehensive documentation for all ML models and processes.

    Must Have :

    1. Education: Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.

    2. Professional Experience: Full-stack Data Scientist with a track record in ML model development and deployment in production. Experienced in architecting solutions with CI/CD processes.

    3. Proficiency: Proficiency in programming languages, Python is a must know. Proficient in Azure Databricks.

    4. Data Science Skills: Experience in data preprocessing, feature engineering, model building and model evaluation.

    5. Cloud and Containerization: Knowledge of cloud platforms and familiarity with containerization technologies, such as Docker.

    6. Software Development Practices: Familiarity with software development practices, version control, and agile methodologies.

    7. Distributed Computing: Familiarity with distributed in-memory computing technologies.

    Good to Have :

    1. Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.

    2. Proficient in Spark, familiar with deep learning frameworks like TensorFlow, PyTorch, etc

    3. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.

    4. Enhanced expertise in SQL.

    )
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