AI Software Engineer
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Job Description
AI Software Engineer Location: Bangalore Job Type: Full Time
Experience
Level: Senior
About the Role:
We are seeking a talented AI Software Engineer to join our team and help develop innovative AI-driven solutions. You will be responsible for designing, implementing, and optimizing AI models, integrating them into software applications, and working closely with data scientists and engineers to build scalable AI-powered products.
Key Responsibilities:
- Design, develop, and deploy AI and machine learning models for real-world applications.
- Work with large datasets to train and fine-tune models, ensuring high accuracy and efficiency.
- Build and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Develop and maintain AI-driven software applications, integrating models into production environments.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers.
- Optimize AI models for performance, scalability, and deployment on cloud platforms (AWS, Azure, GCP).
- Implement MLOps best practices for model versioning, deployment, and monitoring.
- Stay up-to-date with the latest AI research, tools, and techniques to continuously improve AI capabilities.
Requirements
Required
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- Strong programming
skills
in Python, Java ·
Experience
with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
- 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.
- 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.
- with containerization (Docker, Kubernetes) and APIs for model integration.
- Strong problem-solving
skills
and the ability to work in a fast-paced environment. ·
Experience
with LLMs (Large Language Models), Generative AI, or AI-powered automation.
- with LLMs (Large Language Models), 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.
Benefits
- Work with cutting-edge technologies and a talented team.
- Competitive salary and
benefits
package.
- package.
- Flexible work environment with growth opportunities.
- Access to professional development and learning resources.
Key Requirements & Skills
Required
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- Strong programming
skills
in Python, Java ·
Experience
with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
- 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.
- 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.
- with containerization (Docker, Kubernetes) and APIs for model integration.
- Strong problem-solving
skills
and the ability to work in a fast-paced environment. ·
Experience
with LLMs (Large Language Models), Generative AI, or AI-powered automation.
- with LLMs (Large Language Models), 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.
Benefits
- Work with cutting-edge technologies and a talented team.
- Competitive salary and
benefits
package.
- package.
- Flexible work environment with growth opportunities.
- Access to professional development and learning resources.
Benefits & Perks
- Work with cutting-edge technologies and a talented team.
- Competitive salary and
benefits
package.
- package.
- Flexible work environment with growth opportunities.
- Access to professional development and learning resources.
Frequently Asked Questions
How to apply for AI Software Engineer at Aptus Data Labs?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
6–8 years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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