onsite

AIML Engineer / Sr. AIML Engineer (Data Science Python)

Tiger Analytics is hiring an AIML Engineer / Sr. AIML Engineer with a strong Python development background and at least 4 years of experience in Data Science/Machine Learning. The role involves developing data and ML model pipelines using Python data science packages and Pyspark, along with exposure to cloud platforms.

About the role

About Tiger Analytics

Tiger Analytics is a global AI and analytics consulting firm with over 3900 employees, solving problems that impact millions globally. The company's culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, Tiger Analytics has delivery centers and offices across India, the US, UK, Canada, and Singapore, in addition to a substantial remote global workforce. Tiger Analytics is Great Place to Work-Certified™, offering an environment where employees are at the heart of an AI revolution, working with teams that push boundaries and build inspiring solutions.

What do we expect?

We are looking for a Data Scientist with strong experience in Python.

Core Skills

4+ years of experience working on Data Science / Machine Learning modules with a strong Python Development background.
Proficient with Python data science packages like Pandas, numpy, scikit-learn, etc., to develop Data and ML model development pipelines.
Familiarity with building optimized data pipelines with Pyspark.
Exposure to one or more cloud platforms like AWS, AzureML, Databricks, GCP, etc.
Ability to write effective, scalable, and modular code. Should be able to understand, test, and debug existing python project modules quickly and contribute to them.
Should be familiarized with Git workflows, development best practices, and writing production-ready code.

Good To Have

Understanding of shell scripting and python package development is a plus.
Visualization skills in python with plotly, matplotlib, seaborn, etc. Ability to create customized plots using such tools.