Ml Scientist Ii

7 days ago

Bengaluru Karnataka, India Cleartax Full time

ID: 1420 | Fresher | Bengaluru | careers
- **About Clear**

**The journey of simplicity throughout the last decade, urged us to make things clear, so that it's easier done than said.**

Clear today is India's leading fintech SaaS platform, serving 3K+ enterprises, 6L+ SMEs, and 5M+ individuals, with our ITR, GST, e-Invoicing products, and more. While the journey has not been easy, it has been transforming.
Founded in 2011, the decade-long journey of ClearTax defines growth. Starting with just 3 tech products related to tax and filing, we now build mobile and web-based SaaS products for invoices, taxes, payments, and credit and augment them with strong advanced analytics and artificial intelligence. We are also a Series C funded startup with a strong team of 1000+ members, and as we continue to evolve into a world of new-financial solutions, we're looking for individuals with perspectives to join our team.

**Job brief**
Our engineers are involved in all parts of the product life cycle: idea generation, design, planning, execution, and shipping. On day-to-day work, we create reliable, scalable and highly performant systems. A commitment to teamwork, hustle, and good communication skills are our key requirements. As Software Engineer II, you will lead end to end development of modules with complete ownership of design, planning, coding & delivery.

**Requirements**:
2-5 years of relevant experience in ML project in production, proven impact of ML projects
Advance proficiency in Python and SQL for data analysis
You are comfortable in a high paced environment and can respond to urgent (and at times ambiguous) requests
Fundamental grasp of Probability, Statistical inference

Deep understanding of classical ML models (XGBoost, Logistic Regression) etc.

Deep understanding of Deep Learning

Build and a serve a simple ML API

Effective communication of complex technical ideas.

Basics of prompt engineering

Knowledge of LLMs along with RAG, Function calling
Experience with Big Data frameworks like Spark
- Basic Knowledge of ML OPS

**Qualification**:

- B. Tech or higher in Computer Science from a premier institute.

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