Full time

Aptus Data Labs; Bangalore Rural; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Professional development resources

Job summary

Aptus Data Labs in Bangalore North, India is seeking an AI Software Engineer to design, implement, and optimize AI models, integrating them into scalable software products.

You will work with data scientists and engineers on cloud deployment, MLOps practices, and cutting-edge AI tools, with a focus on responsible AI and robust performance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, or related field.
• Strong programming skills in Python and Java.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Knowledge of NLP, computer vision, or reinforcement learning is a plus.
• Hands-on experience with cloud computing (AWS, GCP, Azure) for AI model deployment.
• Familiarity with data structures, algorithms and software development best practices.
• Experience with containerization (Docker, Kubernetes) and APIs for model integration.
• Experience with LLMs, Generative AI, or AI-powered automation.
• Understanding of AI ethics, bias mitigation, and responsible AI practices.
• Knowledge of big data technologies like Hadoop, Spark, or Kafka.

Responsibilities

• Design, train, and deploy AI/ML models for real-world applications.
• Work with large datasets to train and fine-tune models for accuracy and efficiency.
• Build and optimize deep learning architectures using TensorFlow, PyTorch, or Scikit-learn.
• Develop and maintain AI-driven software applications, integrating models into production environments.
• Collaborate with data scientists, software engineers, and product managers.
• Optimize AI models for performance, scalability, and cloud deployment (AWS, Azure, GCP).
• Implement MLOps practices for model versioning, deployment, and monitoring.
• Stay up-to-date with AI research, tools, and techniques to improve capabilities.

Skills

Python

Java

TensorFlow

PyTorch

Scikit-learn

Keras

NLP

Computer Vision

Reinforcement Learning

LLMs

Docker

Kubernetes

AWS

GCP

Azure

Education

Bachelor’s or Master’s degree in Computer Science/AI/related field

Tools

Docker

Kubernetes

AWS

GCP

Azure

Hadoop

Spark

Kafka

Job description

Bangalore North, India | Posted on 03/07/2025

We are seeking a talented AI SoftwareEngineer to join our team and help develop innovative AI-driven solutions. Youwill be responsible for designing, implementing, and optimizing AI models,integrating them into software applications, and working closely with datascientists and engineers to build scalable AI-powered products.

Key Responsibilities

• Design,develop, and deploy AI and machine learning models for real-world applications.
• Workwith large datasets to train and fine-tune models, ensuring high accuracy andefficiency.
• Buildand optimize deep learning architectures using frameworks like TensorFlow,PyTorch, or Scikit-learn.
• Developand maintain AI-driven software applications, integrating models intoproduction environments.
• Collaboratewith cross-functional teams, including data scientists, software engineers, andproduct managers.
• OptimizeAI models for performance, scalability, and deployment on cloud platforms (AWS,Azure, GCP).
• ImplementMLOps best practices for model versioning, deployment, and monitoring.
• Stayup-to-date with the latest AI research, tools, and techniques to continuouslyimprove AI capabilities.

Requirements

Required Qualifications

• Bachelor’sor Master’s degree in Computer Science, AI, Machine Learning, or a relatedfield.
• Strongprogramming skills in Python, Java
• Experiencewith AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Knowledgeof NLP, Computer Vision, or Reinforcement Learning is a plus.
• Hands-onexperience with cloud computing (AWS, GCP, Azure) for AI model deployment.
• Familiaritywith data structures, algorithms, and software development best practices.
• Experiencewith containerization (Docker, Kubernetes) and APIs for model integration.
• Strongproblem-solving skills and the ability to work in a fast-paced environment.
• Experiencewith LLMs (Large Language Models), Generative AI, or AI-powered automation.
• Understandingof AI ethics, bias mitigation, and responsible AI practices.
• Knowledgeof big data technologies like Hadoop, Spark, or Kafka.

• Workwith cutting-edge technologies and a talented team.
• Competitive salary and benefitspackage.
• Flexible work environment withgrowth opportunities.
• Access to professional developmentand learning resources.