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    Job · 22361129

    Lecan Solutions logo

    AI/ML Engineer-Data Science

    Lecan Solutions · Hyderabad · hybrid · Posted today

    Undisclosed6–11 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Title: AI/ML Engineer Data Science


    Location: Pan India
    Experience: 5+ Years
    Education: 15 Years of Full-Time Education


    Job Summary

    We are looking for an experienced AI/ML Engineer with strong expertise in Data Science to develop, implement and optimize AI/ML models and applications that support business objectives.

    The role involves working with machine learning algorithms, statistical modeling, predictive analytics, Generative AI, deep learning technologies, cloud AI services and production-ready pipelines.


    Key Responsibilities

    • Lead the development and implementation of AI/ML models and strategies.
    • Design, develop and optimize machine learning models to solve complex business problems.
    • Build AI/ML-based decision-making frameworks and evaluate their business value.
    • Work with large datasets, including data cleaning, preprocessing, transformation and feature engineering.
    • Collaborate with cross-functional teams to align AI solutions with business requirements.
    • Contribute to technical decisions and resolve complex technical problems.
    • Mentor team members and share technical knowledge.
    • Monitor project progress and ensure delivery within agreed timelines and business objectives.

    Required Skills and Qualifications

    • Strong proficiency in Data Science.
    • Good knowledge of machine learning algorithms, statistical modeling and predictive analytics.
    • Experience with Python or R and machine learning libraries and frameworks.
    • Experience with cloud platforms and deploying AI/ML models in production environments.
    • Familiarity with Generative AI models and deep learning frameworks.
    • Knowledge of neural networks, chatbots and image processing techniques.
    • Experience working with large datasets, data preprocessing and feature engineering.
    • Ability to interpret model results and communicate insights effectively to stakeholders.

    Eligibility Criteria

    • Minimum 5 years of relevant experience in Data Science.
    • 15 years of full-time education is required.

    Sourced from naukri

    Skills

    statistical modelingPythonGenerative AiData ScienceMachine Learning

    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

    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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