Data Science

Job Description

Why Join Iris
Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions
Join Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story.
About Us
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job - it's a launchpad for growth.
Our Employee Value Proposition, Build Your Future. Own Your Journey.reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best - both personally and professionally.
Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it .

Job Description

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.

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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.

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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 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).

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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).

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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
Database - Database Programming - SQL
Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker
Tech - Data Structure and Algorithms
Programming Language - Java - Core Java (java 8+)
Programming Language - Scala - Scala
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
Agile - Agile - Extreme Programming
Middleware - Message Oriented Middleware - Messaging (JMS, ActiveMQ, RabitMQ, Kafka, SQS, ASB etc)
Beh - Communication and collaboration

Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.