AI Engineer

Cyber Infrastructure (P) Limited; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Cyber Infrastructure (P) Limited is seeking an AI Engineer to design and develop AI models and algorithms, focusing on ML, data analysis, and AI applications to solve complex problems. The role involves coding, training models, and deploying AI solutions to enhance functionality and innovation within various systems.

The ideal candidate has strong experience with TensorFlow, PyTorch, Keras, and cloud platforms, along with solid programming skills in Python, R, or Java.

Qualifications

• Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
• Strong understanding of data structures, algorithms, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
• Knowledge of MLOps tools and practices for model deployment and monitoring.
• Ability to work with large datasets and build scalable AI solutions.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and collaboration skills.
• Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
• Exposure to big data technologies (e.g., Hadoop, Spark).
• Knowledge of model interpretability and explainability methods.

Responsibilities

• Design and develop AI models and algorithms.
• Train models and evaluate performance to ensure accuracy and reliability.
• Implement AI solutions to solve business problems across systems.
• Collaborate with team members with guidance, peer review, and documented progress.
• Follow the team's quality, security, and Agile delivery practices.

Skills

TensorFlow

PyTorch

Keras

Python

R

Java

NLP

Computer vision

Reinforcement learning

Data structures

Algorithms

Statistics

MLOps

Big data

Education

BE/ME (CS/IT) or equivalent

Tools

AWS

GCP

Azure

Hadoop

Spark

Job description

Role description

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AI Engineer designs and develops artificial intelligence models and algorithms. AI Engineer work on machine learning, data analysis, and AI applications to solve complex problems. This role involves coding, training models, and implementing AI solutions to enhance functionality and innovation within various systems.

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Overview

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AI Engineer designs and develops artificial intelligence models and algorithms. AI Engineer work on machine learning, data analysis, and AI applications to solve complex problems. This role involves coding, training models, and implementing AI solutions to enhance functionality and innovation within various systems.

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Responsibilities

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AI Engineer designs and develops artificial intelligence models and algorithms. AI Engineer work on machine learning, data analysis, and AI applications to solve complex problems. This role involves coding, training models, and implementing AI solutions to enhance functionality and innovation within various systems. Complete assigned AI Engineer work with guidance, peer review, and documented progress. Follow the team's quality, security, communication, and Agile delivery practices.

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Requirements

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Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools and practices for model deployment and monitoring. Ability to work with large datasets and build scalable AI solutions. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills. Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc. Exposure to big data technologies (e.g., Hadoop, Spark). Knowledge of model interpretability and explainability methods.

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Qualifications

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BE/ME (CS/IT) or equivalent