Data Science

2 days ago

Noida, Uttar Pradesh, India Iris Software Full time US$ 1,20,000 - US$ 2,00,000 per year

Job Summary:

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions.

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 (e.g., 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

Database - Database Programming - SQL

Programming Language - Python - Python Shell

Data Science and Machine Learning - Data Science and Machine Learning - Pytorch

Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker

Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight

Programming Language - Scala - Scala

Agile - Agile - SCRUM

Middleware - Message Oriented Middleware - Messaging (JMS, ActiveMQ, RabitMQ, Kafka, SQS, ASB etc)

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Artificial Intelligence - AI Tools - TensorFlow

Beh - Communication and collaboration.

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