Data Science - Senior Engineer
- Iris Software
- 5 - 10 years
- Noida, Gurugram
- 3 months ago
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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.
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 - Python
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)
Programming Language - Scala - Scala
Programming Language - C++ - C++
Programming Language - Java - Core Java (java 8+)
Database - Database Programming - SQL
Artificial Intelligence - AI Tools - TensorFlow
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Beh - Communication and collaboration
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: Iris SoftwareLocation(s): Noida, Gurugram+ View Contact
Keyskills: algorithms python machine learning extreme programming data science containerization configuration management message oriented middleware tensorflow java devops pytorch data structures software engineering agile aws middleware
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