Software Engineer II (AI/ML)

HuntingCube; Gurugram District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Hybrid work

Free meals

Wellness programs and events

Sports teams and fitness events

Career development workshops

Job summary

HuntingCube in India is seeking an AI/ML Engineer to build data pipelines, design deep learning architectures, and analyze model performance at scale. The role emphasizes practical DL deployment and scalable experimentation.

The position requires 2–6 years of experience, strong Python and DL framework skills, and proficiency with Git, CI/CD, Linux, SQL, and Bash. Hybrid work, comprehensive benefits, and participation in production ML systems are offered.

Qualifications

• A bachelor’s, master’s, or PhD in computer science or a related field, 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.

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

AI/ML

Python

Linux

SQL

Git

Education

Bachelor's degree or higher in CS or related field

Tools

PyTorch

TensorFlow

CI/CD

MLOps

Bash

Job description

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.

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 in computer science or a related field, 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.

Benefits

Our benefits include:

• Generous paid time off policies
• Savings plans and other financial wellness tools available in each region
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
• Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations throughout the year
• Workshops and continuous learning opportunities

Required Skills

['AI/ML']