AI Engineer

ISKCON Bangalore✔; Bengaluru; On-site; INR 800,000 - 1,500,000; Full time

Job summary

A leading tech organization in Bengaluru is seeking an AI Engineer to develop, test, and deploy machine learning models and AI systems. The ideal candidate will optimize models for performance, collaborate across teams, and handle data pipelines effectively. Key responsibilities include building API-driven AI applications and staying updated on AI advancements. The position requires proficiency in Python, experience with AI frameworks, and knowledge of cloud platforms. A Bachelor's or Master's in Computer Science or related field is essential.

Qualifications

• Proficiency in programming languages such as Python, Java, or C++.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
• Strong data handling skills with SQL, Pandas, and NumPy.
• Knowledge of cloud platforms (AWS SageMaker, Azure ML) and containerization tools (Docker).

Responsibilities

• Build, train, and deploy AI/ML models and integrate them into production systems.
• Create and manage scalable data pipelines and infrastructure for AI.
• Develop API-based AI applications using frameworks like LangChain.
• Optimize models for speed, accuracy, and scalability.
• Collaborate with data scientists and engineers to align AI solutions.
• Stay updated on advancements in AI/ML for innovation opportunities.

Skills

Proficiency in Python

Proficiency in Java

Proficiency in C++

Experience with TensorFlow

Experience with PyTorch

Experience with Keras

Experience with Scikit-learn

Strong proficiency in SQL

Strong proficiency in Pandas

Strong proficiency in NumPy

Knowledge of AWS SageMaker

Knowledge of Azure ML

Knowledge of Docker

Education

Bachelor’s degree in Computer Science

Master’s degree in Data Science

Related fields

Job description

An AI Engineer develops, tests, and deploys machine learning models and AI systems, bridging the gap between data science and production software. Key responsibilities include building API-driven AI applications, implementing LLMs, optimizing models for performance, and collaborating across teams to solve business problems.

Key Responsibilities

• Model Development & Deployment: Build, train, and deploy AI/ML models (e.g., NLP, computer vision, deep learning) and integrate them into production systems.
• Data Pipeline Engineering: Create and manage scalable data pipelines and infrastructure for AI.
• Application Integration: Develop API-based AI applications using frameworks like LangChain and integrate LLMs or pre-trained models via platforms like Hugging Face.
• Optimization: Optimize models for speed, accuracy, and scalability.
• Cross-functional Collaboration: Work with data scientists and engineers to align AI solutions with business objectives.
• Research: Stay updated on advancements in AI/ML to identify new opportunities for innovation.

Required Experience and Skills

• Programming Languages: Proficiency in Python, Java, or C++.
• AI/ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
• Data Handling: Strong proficiency in SQL, Pandas, and NumPy.
• Cloud & DevOps: Knowledge of cloud platforms (AWS SageMaker, Azure ML) and containerization tools like Docker.
• Education: Bachelor’s or Master’s in Computer Science, Data Science, or related fields.