Senior AI Platform Engineer

Luxoft; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Luxoft in Hyderabad, India is seeking an AI/ML Engineer to design, develop, and deploy scalable models and data pipelines. You will collaborate with cross-functional teams to translate business problems into AI solutions and work on large-scale data processing tasks.

The role requires proficiency in Python/Java/C++, experience with TensorFlow or PyTorch, and familiarity with AWS or Google Cloud, plus Docker. Agile methodologies and strong problem-solving abilities are essential.

Qualifications

• Experience designing and deploying AI/ML models.
• Proficiency in Python/Java/C++ and DL frameworks.
• Familiarity with cloud platforms (AWS/GC).
• Experience with data pipelines and scalable architectures.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Design, develop, and deploy scalable AI/ML models.
• Collaborate with cross-functional teams to solve business problems using AI/ML.
• Develop and maintain large-scale data pipelines and architectures.
• Handle complex data processing and analysis tasks.
• Implement automated testing and deployment scripts.
• Stay updated with AI/ML industry trends.

Skills

Programming languages: Python, Java, C

Deep learning frameworks: TensorFlow,/

Agile development

Data processing & analytics

Problem solving

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Docker

Job description

Roles and Responsibility

• Design, develop, and deploy scalable AI and ML models using various frameworks and technologies.
• Collaborate with cross-functional teams to identify business problems and develop solutions using AI and ML.
• Develop and maintain large-scale data pipelines and architectures.
• Work on complex data processing and analysis tasks.
• Implement automated testing and deployment scripts.
• Stay updated with industry trends and advancements in AI and ML.

Job Requirements

• Strong proficiency in programming languages such as Python, Java, or C++.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of cloud platforms such as AWS or Google Cloud.
• Familiarity with containerization using Docker.
• Understanding of agile development methodologies.
• Excellent problem-solving skills and attention to detail.