Project Leader

Axtria - Ingenious Insights; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Axtria - Ingenious Insights in Dadri, Uttar Pradesh, India, is seeking a Data Scientist to design and implement scalable ML models and operationalize them within production. The role emphasizes hands-on Python data-science work, deep ML knowledge, and collaboration within large teams.

The ideal candidate will showcase strong experience in SPARK/Scala or Python, with proficiency in ML frameworks, NLP techniques, and cloud platforms (AWS/Azure/GCP).

Qualifications

• Hands-on experience in Python data-science and ML model development.
• Experience with large teams using collaboration tools like Git, Jira, and Confluence.
• Familiarity with cloud platforms (AWS, Azure or GCP).

Responsibilities

• Hands-on experience in Python data-science and ML model development.
• Proficiency in Python and ML frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML, OpenAI).
• Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence.
• Good understanding of any cloud platform – AWS, Azure or GCP.
• Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus.
• Self-motivated and capable of delivering results within timelines; willing to learn and adapt.
• Ability to mentor and guide mid to large sized teams.

Skills

Teamwork

Mentoring

Willingness to learn

Self-motivation

Problem solving

Tools

Python

NumPy

Pandas

Scikit-learn

Seaborn

PyCaret

Matplotlib

TensorFlow

NLTK

Stanford NLP

PyTorch

Ling Pipe

Caffe

Keras

SparkML

OpenAI

Git

Jira

Confluence

AWS

Azure

GCP

Job description

Job Summary

Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production.

Job Responsibilities

• Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
• Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)
• Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
• Good understanding of any of the cloud platform – AWS, Azure or GCP
• Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
• Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.
• Should be able to mentor and guide mid to large sized teams under him/her

Job Requirements

• Strong experience on Spark with Scala/Python/Java
• Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment
• Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering

Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus