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3 Days ago

Data Scientist

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Hyderabad, Telangana, India
Information Technology
Full-Time
Iris Software Inc.

Overview

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.

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 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.

Job Description

Should be having 6 to 8 years of industry experience.

Strong with libraries like Pandas, Numpy, Scipy etc. OR should have good exposure on file handling in Python

Strong querying data from database(i.e. oracle etc.) using database query language like SQL, MYSQL

Strong basic python concepts (like list, tuple, dictionary etc. ) and Object orient programming in Python (like classes etc.)

Should have knowledge of at least one python framework (like flask etc.)

Experience with Linux/Unix environment along with knowledge of basic Linux commands (i.e cut, sort, uniq etc.)

Strong expertise in Natural Language Processing (NLP) and Generative AI (GenAI), including LLM fine-tuning, prompt engineering, embeddings, and end-to-end NLP pipeline development.

Generative AI Detail: It's using the GenAl for developemnt, like integrate GenAl model, chatgpt, gemini to implement the project code Rather than use them to generate code. The candidate should know how to integrate to this model(chatgpt, Gemini, Azure) in python code level, not expecting someone only know how to use tool rather in code level

Solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques using Python ML frameworks (scikit-learn, TensorFlow, PyTorch).

Mandatory Competencies

Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing)

Data Science and Machine Learning - Data Science and Machine Learning - Gen AI

Data Science and Machine Learning - Data Science and Machine Learning - Python

Programming Language - Python - Numpy

Programming Language - Python - Flask

Programming Language - Python - Panda

Database - Oracle - PL/SQL Packages

Operating System - Operating System - Linux

Data Science and Machine Learning - Data Science and Machine Learning - LLM

Data Science and Machine Learning - Data Science and Machine Learning - Pytorch

Artificial Intelligence - AI Tools - TensorFlow

Data Science and Machine Learning - Data Science and Machine Learning - Azure ML

Artificial Intelligence - AI Tools - ChatGPT

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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