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    Job · 16963258

    Lecan Solutions logo

    Senior AI/ML Engineer - MLOps & Generative AI

    Lecan Solutions · Hyderabad · hybrid · Posted 51d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

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

    About this role

    Hiring: Large Language Model Architect

    Project Role: Large Language Model Architect

    Project Role Description:
    Architect large language models (LLM) that can process and generate natural language. Design neural network parameters trained on large quantities of unlabeled text data.

    Must Have Skills: Machine Learning (ML)
    Good to Have Skills: Snowflake Data Warehouse, Microsoft Azure Data Services

    Experience Required: Minimum 5 Years
    Educational Qualification: 15 Years Full-Time Education
    Location: PAN India

    Summary:

    As a Large Language Model Architect, you will design and structure advanced language models capable of understanding and generating human-like text. You will work on neural network configurations, large-scale datasets, and model architectures to improve performance and adaptability across various applications. You will also collaborate with cross-functional teams to align model capabilities with project goals and business requirements.

    Roles & Responsibilities:

    • Expected to be an SME, collaborate and manage the team to perform
      • Responsible for team decisions
      • Engage with multiple teams and contribute to key decisions
      • Provide solutions to problems for the immediate team and across multiple teams
      • Lead the development and implementation of innovative language model architectures
      • Facilitate knowledge sharing and mentorship within the team
      • Coordinate with stakeholders to align model design with business objectives and technical requirements

    Professional & Technical Skills:

    Must Have:
    • Proficiency in Machine Learning (ML)
    • Strong understanding of neural network design and optimization techniques
    • Experience with large-scale data processing and management
    • Ability to develop and fine-tune models trained on extensive unlabeled datasets
    • Familiarity with Natural Language Processing (NLP) frameworks and tools

    Good to Have:
    • Snowflake Data Warehouse
    • Microsoft Azure Data Services

    Additional Information:

    • Minimum 5 years of experience in Machine Learning (ML)
      • Location: PAN India
      • 15 years full-time education is mandatory

    Sourced from naukri

    Skills

    machine learning operationsGenrative AiNatural Language ProcessingMachine 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

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