Software Engineer 2 (AI/ML)

Talentoj; Gurugram District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Talentoj is seeking a qualified AI/ML engineer to build scalable data pipelines, design deep learning architectures, and optimize production ML workflows in a Gurugram-based team.

The candidate will work with Python, PyTorch or TensorFlow, and CI/CD practices to deploy models and monitor performance across diverse datasets.

Qualifications

• Degree in bachelor, master, or PhD with 2–6 years of relevant experience.
• Experience training, building, and deploying large-scale deep learning models is required.
• Experience designing sequence and time-series models is required.
• Expertise in Python with PyTorch or TensorFlow.
• Experience with Git, CI/CD pipelines, and MLOps for automating production ML workflows.
• Working knowledge of Linux, SQL, Git, and Bash scripting.

Responsibilities

• Developing data pipelines to collect, process, and analyze diverse datasets at scale.
• Designing and implementing deep learning architectures capable of processing large volumes of data.
• Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
• Building and managing agentic workflows to support scalable and efficient AI/ML solutions.
• Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
• Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.

Skills

Python

Deep learning

CI/CD

MLOps

Linux

SQL

Git

Bash scripting

PyTorch

TensorFlow

Education

Bachelor's/Master's/PhD

Tools

PyTorch

TensorFlow

Git

CI/CD pipelines

Job description

• Developing data pipelines to collect, process, and analyze diverse datasets at scale.
• Designing and implementing deep learning architectures capable of processing large volumes of data.
• Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
• Building and managing agentic workflows to support scalable and efficient AI/ML solutions.
• Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
• Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.

Qualifications:

• A bachelor's, master's, or PhD degree , with at least 2-6 years of relevant experience.
• Experience training, building, and deploying large-scale deep learning models is required.
• Experience designing and implementing sequence and time-series models is required.
• Expertise in Python, with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Git, CI/CD pipelines, and MLOps practices for automating model deployment and managing production machine learning workflows.
• Working knowledge of Linux, SQL, Git, and Bash scripting.