Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 12105793

    NOIDA · FULLTIME

    Data Science - Senior Engineer

    Iris Software logo

    Iris Software

    Noida · onsite · Posted 65d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeNoida

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

    agent · working

    • Read this posting0.8s
    • Found the form on Naukri · 14 questions to answer1.8s
    • Decided the answers for all of them3.2s
    • Tailor your résumé to this role
    • Waiting for you

    Section · 01

    About this role

    Data Science - Senior Engineer
    Location: Noida, UP, India
    Company: Iris Software
    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 MLflow, SageMaker, 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, BigQuery).
    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 - Python
    • Cloud - AWS - Amazon IAM, AWS Secrets Manager, AWS KMS, AWS Cognito
    • Cloud - Cloud - Apache Hudi
    • Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift
    • Beh - Communication and collaboration

    Sourced from naukri

    Section · 02

    Skills

    data qualityDevopsDockerKubernetesAgileApache SparkScalaNoSQLApache Kafkaaws iamamazon web servicesapache flinkredshiftfeature engineeringData AnalyticsPytorchTensorflowLogisticsPythonSQLPandasJavaData ScienceArtificial IntelligenceMachine Learning

    Section · Company

    About Iris Software

    Iris Software logo

    Iris Software

    IT Services & Consulting

    4.3k+

    employees

    1991

    35 years old

    Edison, New Jersey

    United States (USA)

    About

    IT company for best tech-solutions to enhance business operations

    Industries

    IT Services & Consulting

    Employee ratings

    1,895 reviews

    3.8/ 5

    Culture

    3.7

    Career growth

    3.3

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance381Work Culture267Senior Management254Learning202Salary156

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    Data Science - Senior Engineer · waiting for your command