Data Science - Senior Engineer

Iris Software, Inc.; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

World-class benefits

Personalized employee experience

Financial and health support

Job summary

Iris Software, Inc. is seeking a Data Scientist/ML Engineer to design, implement, and maintain data science pipelines. You will collaborate with data scientists to operationalize ML models and develop robust APIs for model inference.

The ideal candidate should have a Bachelor's or Master's degree, 5+ years of experience in relevant roles, and proficiency in Python and SQL. The position offers comprehensive benefits designed to support employees' professional and personal growth.

Qualifications

• 5+ years of experience in data science, ML engineering, or software engineering.
• Proficiency in Python and SQL; knowledge of Java, Scala, or C++ is a plus.
• Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.

Responsibilities

• Design, implement, and maintain data science pipelines.
• Collaborate with data scientists to operationalize ML models.
• Develop APIs for ML model inference.

Skills

Data science pipelines

Machine Learning

Python

SQL

Data processing systems

APIs development

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

Spark

Pandas

Scikit-learn

XGBoost

TensorFlow

PyTorch

AWS

Job description

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

• Bachelor’s or Master’s 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.

Iris provides world‑class benefits for a personalized employee experience. These benefits are designed to support the financial, health, and well‑being needs of employees for holistic professional and personal growth.