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Data Science - Lead @ Iris Software

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 Data Science - Lead

Job Description

Key Responsibilities:
  • Design, implement, and maintain data science pipelines from data ingestion to model deployment
  • Collaborate with data scientists to operationalize ML models and algorithms in production environments
  • Develop robust APIs and services for ML model inference and integration
  • Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools
  • Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring
  • Work with cloud infrastructure (AWS) for scalable ML deployment
  • Manage model versioning, feature engineering workflows, and experiment tracking
  • Optimize performance of models and pipelines for latency, cost, and throughput

    Required Qualifications:
    • Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field
    • 5+ years of experience in a data science, ML engineering, or software engineering role
    • Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus
    • Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch
    • Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI
    • Solid understanding of data structures, algorithms, and software engineering best practices
    • Experience working with databases (SQL, NoSQL) and data lakes (eg
    • , Delta Lake, Big Query)
    • Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes)
    • Experience working in Agile or cross-functional teams
    • Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink)
    Soft Skills:
    • Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset.
    Mandatory Competencies
    • Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
    • Data Science and Machine Learning - Data Science and Machine Learning - Python
    • Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
    • Programming Language - Python - Panda
    • Agile - Agile - Extreme Programming
    • Database - Database Programming - SQL
    • DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
    • Programming Language - C++ - C++
    • Programming Language - Scala - Scala
    • Beh - Communication and collaboration

    Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Data Science & Machine Learning - Other
    Employement Type: Full time

    Contact Details:

    Company: Iris Software
    Location(s): Noida, Gurugram

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    Keyskills:   Data Science algorithms kubernetes scikit-learn scala artificial intelligence sql docker spark streaming tensorflow java spark devops pytorch data structures software engineering ml python aiml machine learning apache flink pandas kafka agile aws

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