Overview
Develop and train machine learning models on structured datasets under senior engineer guidance, supporting AI/ML solutions and proof-of-concept work for new use cases.
What you'll do
- Develop and train machine learning models on structured datasets under senior engineer guidance and code review.
- Write production-ready Python code for data preprocessing, feature engineering, and model evaluation pipelines.
- Execute assigned analytics work-packets, translating requirements into reproducible Jupyter notebooks and scripts.
- Collaborate with data engineers to validate data quality and resolve pipeline issues blocking model development.
- Document model assumptions, hyperparameters, and performance metrics for knowledge transfer and audit compliance.
- Participate in code reviews, testing, and deployment of AI/ML solutions to development and staging environments.
- Support senior team members in exploratory data analysis and proof-of-concept development for new use cases.
What you'll need
- Associates/Diploma in Statistics, or Bachelors in Artificial Intelligence, Computer Science, Mathematics, or Software Engineering.
- Required skills: AI/ML Ops, AI Agents, Artificial Intelligence (AI), Deep Learning Algorithms, Machine Learning, Microsoft Azure, Natural Language Processing (NLP), PyTorch, TensorFlow.
- English language proficiency (required), overall proficient, C2.
Nice to have
- Certification in Python and Machine Learning (Decodr Technology).
- Deep Learning Foundations and Applications (Indian Institute of Technology, Kharagpur).
- Deep Learning Specialization (Coursera).
- Generative AI & Large Language Models (Databricks Academy).
- IBM Machine Learning Specialization (IBM).
Details
- Location: 1401-G-India: Ph V, STPI, Gurgaon.
- Job type: Regular.
- Work mode: Hybrid.
- Work shift: Day Job (India).
Read the full description and apply on the company’s own careers page.