Data Scientist + Aws

4 days ago

Noida Uttar Pradesh, India Iris Software Full time

**Posted On**:29 Apr 2025

**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.

Required Skills & Qualifications:

- 5-7 years of industry experience building and deploying machine learning models.
- Strong proficiency with machine learning algorithms including XGBoost, linear regression, and classification models.
- Hands-on experience with AWS SageMaker for model development, training, and deployment.
- Solid programming skills in Python (and relevant libraries such as scikit-learn, pandas, NumPy, etc.).
- Strong understanding of model evaluation metrics, cross-validation, hyperparameter tuning, and performance optimization.
- Experience in working with structured and unstructured datasets.
- Knowledge of best practices in model deployment and monitoring in a production environment (ML Ops desirable).
- Familiarity with tools like Docker, Git, CI/CD pipelines, and AWS ML services.
- Excellent problem-solving skills, critical thinking, and attention to detail.
- Strong communication and collaboration skills.

Nice to Have:

- Experience with additional AWS services like Lambda, S3, Step Functions, CloudWatch.
- Exposure to deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with DataOps practices and agile methodologies.

**Mandatory Competencies**:

- Data Science - Machine learning
- Python - Numpy
- Data Science - Python
- Python - Panda

**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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