Data Scientist
3 months ago
**Posted On**:11 Oct 2024
**Location**: Noida, UP, India
**Company**:Iris Software
**Why Join Us?**
Are you inspired to grow your career at one of **India’s Top 25 Best Workplaces in IT industry? **Do you want to do the best work of your life at one of the **fastest growing IT services companies**? Do you aspire to thrive in an award-winning work culture that **values your talent and career aspirations**? It’s **happening right here** at Iris Software.
**About Iris Software**
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.
**Working at Iris**
**_Be valued, be inspired, be your best._**
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.
Our employee value proposition (EVP) is about “Being Your Best” - as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version.
- Implement data processing and transformation tasks using **Databricks platform**, including data ingestion, cleansing, enrichment, and aggregation.
- Design, develop, and maintain **ML Ops pipelines** and workflows using Databricks platform for model training, deployment, and monitoring.
- Develop and deploy machine learning models and algorithms on Databricks platform, integrating preferably with **AWS services for data storage, processing, and inference**.
- Implement automated processes for model versioning, experimentation tracking, and hyperparameter optimization using Databricks **MLflow**.
- Collaborate with data scientists and software engineers to streamline the deployment and management of machine learning models in production environments.
- Optimize ML Ops workflows for scalability, reliability, and performance, leveraging Databricks best practices and technologies.
- Hands-on experience with Databricks platform, including **MLflow, Delta Lake, and Databricks** **Runtime** for machine learning and analytics.
- **Strong** communication and collaboration skills, with the ability to work effectively in a team environment.
- Technology
- Hands on experience in **performance tuning and optimizing code** running in Databricks environment
- Proficient in programming languages like **Pyspark and Python**:
- Experience with continuous integration/continuous deployment (CI/CD) pipelines and automation tools such as Jenkins, CI/CD, or Azure DevOps.
- Familiarity with model serving frameworks such as TensorFlow Serving, MLflow Model Serving
**Mandatory Competencies**:
- Data Science - Databricks- Tech - Data Structure and Algorithms- Cloud - AWS- Data on Cloud - Azure Data Lake (ADL)- Big Data - PySpark- Python - Python- ETL - Continuous Flow- DevOps - CI/CD- DevOps - Jenkins- Cloud - Azure- Beh - Communication and collaboration**Perks and Benefits for Irisians**
At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment.
Join us and experience the difference of working at a company that values its employees' success and happiness.
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