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Data Science - Lead @ Iris Software

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Iris Software  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
  • 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
  • Database - Database Programming - SQL
  • DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
  • 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 kubernetes python data analytics streaming data ai logistics machine learning nosql sql docker pandas flink data quality tensorflow automation spark devops xml kafka pytorch feature engineering agile aws

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Iris Software

Iris Software Inc.