Job Description

• Pune, India

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud™, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands.

Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision-making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable. 

Responsibility

• • You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems that powers the Aera platform. 
  • You will be working in a highly-collaborative environment with other experts in data science and engineering. 
  • Transform business problems into data problems.
  • Research and build statistical/machine-learning models.
  • Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management.
  • Collaborate with other team members to build data-science products and services using the Aera platform.

About You

• • Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred.
  • 4+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting.
  • Hands-on experience with software development, including translating ML models into scalable production services.
  • Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach.
  • Strong in Python.
  • Experience in Full-Cycle Data Science projects.
  • Experience in implementing machine learning algorithms using libraries such as scikit-learn, PyTorch, Tensorflow.
  • Hands-on experience with software development, including translating ML models into scalable production services.
  • Experience in working with large data sets and distributed systems for machine learning such as Dask and Ray.
  • Familiarity with Large language models, multi-agent frameworks and RAG applications.
  • Excellent verbal and written communication skills.
  • You take complete ownership of your work and are self-driven.