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AI Software Engineer

AI Software Engineer

Aptus Data Labs

2 - 3 years

4 - 5 Lacs

Hubli Mangaluru Mysuru Bengaluru Belgaum

Posted:1 month ago| Platform:

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Skills Required

Cloud computing deep learning Automation Machine learning Cloud Data structures Deployment Application software Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job_Description":"

AI Software Engineer

Location: Bangalore

Job Type: Full Time

Experience Level: Senior

About the Role:

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\u2019sor Master\u2019s 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.

Benefits
- Workwith cutting-edge technologies and a talented team.

- Competitive salary and benefitspackage.

- Flexible work environment withgrowth opportunities.

- Access to professional developmentand learning resources.

","

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AI Software Engineer