AI Engineer

Hired; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Hired is seeking an AI/ML Engineer to design, develop, and deploy machine learning models for real-world applications, collaborating with cross-functional teams to integrate AI solutions into production systems and improve model performance through iterative experimentation.

We require strong Python skills and experience with ML libraries (TensorFlow, PyTorch, scikit-learn), data preprocessing, feature engineering, and model evaluation metrics, plus familiarity with cloud platforms (AWS, GCP,

Qualifications

• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of MLOps including CI/CD, model versioning, and monitoring.

Responsibilities

• Develop and optimize machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Collaborate with data scientists and software engineers to preprocess datasets, engineer features, and validate model accuracy.
• Deploy AI models into scalable production environments while ensuring low-latency inference and efficient resource utilization.
• Monitor model performance in live environments, identify degradation, and implement retraining pipelines to maintain accuracy.
• Contribute to the design of AI-driven products, including recommendation systems, computer vision applications, or natural language processing tools.

Skills

Python

ML libraries

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Spark

Dask

AWS

GCP

Azure

Job description

We are hiring for one of our clients, seeking an AI/ML Engineer to design, develop, and deploy machine learning models for real-world applications. The role involves collaborating with cross-functional teams to integrate AI solutions into production systems and improve model performance through iterative experimentation.

Key Responsibilities:

• Develop and optimize machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Collaborate with data scientists and software engineers to preprocess datasets, engineer features, and validate model accuracy.
• Deploy AI models into scalable production environments while ensuring low-latency inference and efficient resource utilization.
• Monitor model performance in live environments, identify degradation, and implement retraining pipelines to maintain accuracy.
• Contribute to the design of AI-driven products, including recommendation systems, computer vision applications, or natural language processing tools.

Required Skills & Qualifications:

• Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience with data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools like Docker and Kubernetes.
• Knowledge of MLOps practices, including model versioning, CI/CD pipelines, and monitoring frameworks.
• Experience with distributed computing frameworks (e.g., Spark, Dask) for handling large-scale datasets.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business innovation. The position involves close collaboration with industry experts to solve complex technical challenges in a fast-paced environment.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.