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    Job · 22485695

    Lecan Solutions logo

    Machine Learning Engineer

    Lecan Solutions · Gurugram · hybrid · Posted today

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

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

    About this role

    Project Role : AI / ML Engineer
    Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
    Must have skills : Machine Learning (ML)
    Good to have skills : NA
    Minimum 5 year(s) of experience is required
    Educational Qualification : 15 years full time education

    Summary:
    As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on various projects that may include chatbots and image processing, ensuring that all systems are optimized for performance and reliability. Collaboration with cross-functional teams will be essential as you contribute to the design and implementation of innovative AI solutions.

    Roles & Responsibilities:
    - Expected to be an SME.
    - Collaborate and manage the team to perform.
    - Responsible for team decisions.
    - Engage with multiple teams and contribute on key decisions.
    - Provide solutions to problems for their immediate team and across multiple teams.
    - Facilitate knowledge sharing sessions to enhance team capabilities.
    - Monitor project progress and ensure alignment with strategic goals.

    Professional & Technical Skills:
    - Must To Have Skills: Proficiency in Machine Learning (ML).
    - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
    - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
    - Familiarity with data preprocessing and feature engineering techniques.
    - Ability to implement and optimize algorithms for performance and scalability.

    Additional Information:
    - The candidate should have minimum 5 years of experience in Machine Learning (ML).
    - This position is based at our Gurugram office.
    - A 15 years full time education is required. Role & responsibilities



    Preferred candidate profile



    Sourced from naukri

    Skills

    Aimlcloud platformsPytorchTensorflowGenerative AiArtificial IntelligenceMachine 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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