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    Job · 11074692

    HYDERABAD · FULLTIME

    Manager

    Lecan Solutions logo

    Lecan Solutions

    Hyderabad · onsite · Posted 70d ago

    Sourced fromNaukri
    ₹30.0L - ₹50.0L PA12–16 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Roles and Responsibilities :

    • Lead a team of data scientists to design, develop, and deploy AI-powered solutions for various industries.
    • Collaborate with cross-functional teams to identify business problems and develop data-driven solutions using machine learning algorithms.
    • Develop and maintain complex neural networks using deep learning frameworks such as TensorFlow or PyTorch.
    • Ensure high-quality delivery of projects by setting project goals, timelines, and resource allocation.

    Job Requirements :

    • 12-16 years of experience in computer vision, image processing, natural language processing (NLP), or related fields.
    • Strong expertise in artificial intelligence (AI) technologies including machine learning, deep learning, and computer vision.
    • Proficiency in programming languages such as Python with experience working on large-scale projects involving big data analytics.

    Sourced from naukri

    Section · 02

    Skills

    image processingComputer VisionNatural Language ProcessingLarge Language ModelTensorflowPythonDeep LearningData ScienceArtificial IntelligenceMachine Learning

    Section · Company

    About Lecan Solutions

    Lecan Solutions logo

    Lecan Solutions

    Recruitment

    51-200

    employees

    2004

    22 years old

    Naraina

    IN

    ₹2.7L PA avg

    Avg at Lecan Solutions

    ₹30L – ₹50L PA

    This role

    About

    Job Description Python Spark Developer

    Position

    Python Spark Developer

    Experience

    3 to 7 Years

    Work Location

    • Chennai – Sholinganallur SEZ
    • Bangalore – RMZ Ecoworld, Bellandur

    Job Summary

    We are seeking a highly skilled Python Spark Developer with strong expertise in big data technologies and distributed data processing. The ideal candidate should have hands-on experience in Python, Apache Spark, SQL, Unix Shell Scripting, and Airflow, along with a solid understanding of the Hadoop ecosystem.

    The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data processing applications while collaborating with cross-functional teams and mentoring junior developers.

    Key Responsibilities

    • Develop and maintain scalable applications using Python and Apache Spark.
    • Design and implement data processing pipelines using:
      • Spark Core
      • Spark SQL
      • Spark Streaming
    • Work extensively with the Hadoop Ecosystem for distributed data processing.
    • Perform data manipulation, transformation, and analysis using Pandas.
    • Develop and manage workflows using Apache Airflow.
    • Write efficient and optimized SQL queries and Unix Shell scripts.
    • Design low-latency, high-availability, and high-performance applications.
    • Perform coding, testing, debugging, troubleshooting, and deployment activities.
    • Monitor and optimize application performance, scalability, and usability.
    • Implement automation and performance tuning solutions.
    • Lead and mentor junior Python developers and provide technical guidance.
    • Collaborate with stakeholders, architects, analysts, and development teams to deliver quality solutions.

    Industries

    EmploymentHuman ResourcesRecruiting

    Employee ratings

    10 reviews

    4.0/ 5

    Culture

    4.2

    Career growth

    2.9

    Work-life

    4.3

    Employees rate it well for

    Work-Life Balance40Overall Company40

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