Job Overview

afour is part of acl digital, an alten group company, which is a digital product innovation and engineering leader. we help our clients design and build innovative products (ai, cloud, and mobile ready), content and commerce-driven platforms, and connected, converged digital experiences for the modern world through a design-led digital transformation framework. by integrating our strategic design, engineering, and industry capabilities, we help our clients decode the digital world and accelerate their growth journey. headquartered in silicon valley, acl digital is a leader in design-led digital experience, innovation, enterprise modernization, and product engineering services converging to technology, media & telecom. we are a talented workforce and part of the 50,000+ employee alten group, spread across more than 30 countries, offering a multicultural workplace and a collaborative knowledge environment. in india we have operations in bangalore, chennai, pune, panjim, hyderabad, noida and ahmedabad. in the usa, we have offices in california, atlanta, philadelphia, and washington states

technical skills and competencies:

4-5 years of relevant experience

training/certification in data science/machine learning is preferred

ability to effectively work with technical leads

strong communication skills, ability to synthesize conclusions

familiarity with data science concepts, machine learning algorithms & libraries such as scikit-learn, numpy, pandas, stattools, tensorflow, pytorch, xgboost

worked in machine learning training and deployment pipelines

worked in fastapi/falsk framework

worked in docker and virtual environment

worked in database operations

strong analytical and problem solving skills

ability to thrive in a dynamic environment where there can be degrees of ambiguity

candidate profile and competencies:

to be able to apply data mining, quantitative analysis, statistical techniques and conduct simultaneous experiments, to help us draw reliable insights from data.

to be able understand business use-cases and use various sources to collect and annotate datasets for the business problems.

to have a strong academic background with good analytical skill and exposure to machine learning and information retrieval domain and technologies

strong programming skills, must be able to work in programming languages such as python, c/c++, etc

acquire data from primary or secondary data sources and perform data tagging

filter and clean data as per the business requirement and maintain a well-defined, structured and clean database

work on data labeling tool(s) and annotate data for machine learning models. sift through structured and unstructured data; identify the right content and annotate with the right label

interpret data, analyse results using statistical techniques and models and conduct exploratory analysis

regards,

komal narole