AI Engineer

IQVIA; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

IQVIA in Bengaluru seeks a ML Engineer to design, build, test and deliver fit-for-purpose AI/ML models for pharma and healthcare applications, moving prototypes to production. You will work on natural language processing and other algorithms on large real-world datasets.

Collaborate with ML engineers and researchers to convert research ideas into scalable solutions and support client AI project delivery with guidance.

Qualifications

• Master's degree in ML, statistics, CS, physics, math, or related field.
• 0–2 years of experience creating machine learning algorithms.
• Programming in Java, C++, Python, or R; deep learning knowledge.

Responsibilities

• Assist in transforming ML research into viable prototypes.
• Develop features of models on projects with guidance from others.
• Build production-grade algorithms and automation engines for client delivery.
• Test and validate models for deployment viability.
• Consult for internal and external clients on AI project delivery.

Skills

Java

C++

Python

R

Deep learning

Education

Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

Job description

Job Description:

Job Overview

Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client delivables. Test for viability in order to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery.

Essential Functions

• Assists in the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
• Assists in the development of features of models on individual projects and/or products with guidance and support from others
• Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
• Assists in the building and training of new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developed
• Uses a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
• With guidance and support from others, assists in the testing and validation of models to determine viability for deployment.
• Assists in creating fit for purpose experiments and prototype ideas to address pharma questions.
• Consult for internal and external clients, implement solution development and innovation with guidance and support from others, assist in client AI project technical delivery

Qualifications

• Master's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
• 0-2 years’ experience working on creating machine learning algorithms
• Programming experience using one or more of the following: Java, C++, Python, R, Deep learning or equivalent
• Experience working with large, real world datasets

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.