AI/ML Python Developer

Qualifications

• Key skills include Python, TensorFlow, PyTorch, Kubernetes, and experience with tools like Pinecone and FAISS
• Creative and analytical problem-solving abilities
• Understanding of computer architecture, data structures, programming practices, and cloud technologies
• Skilled in Python and common AI development languages
• Experience with Git, Perforce, and related tools
• Extend intelligent agent frameworks, including rule-based, multi-agent, RL-driven, and LLM assistants
• Proficient with TensorFlow, PyTorch, and AI system tools
• Strong analytical skills for complex problems and efficient solutions
• Knowledgeable in data analysis, big data, and machine learning preprocessing
• Work collaboratively within a team environment to meet goals with high-quality standards
• Ability to follow engineering principles and practices, but also able to develop new methods and approaches to solving unique and difficult problems
• Solid oral and written communication skills, with the ability to share ideas with NetApp teams around the world
• At least 2 years focused on AI/ML production systems
• Certifications
• Strong interpersonal abilities to navigate team dynamics and convey technical concepts clearly

Responsibilities

• The role involves designing scalable AI infrastructure, building intelligent agent systems, and optimizing machine learning workflows
• Youll work on CI/CD pipelines, RAG systems, and integrate AI models into real-world applications
• Ideal candidates are analytical, innovative, and passionate about building intelligent automation across domains like robotics and data analysis
• Design scalable AI/ML microservices on MCP (Kubernetes, Istio, Serverless)
• Develop CI/CD pipelines for MLOps
• Optimize Retrieval-Augmented Generation (RAG) systems
• Perform vector similarity search using Pinecone, Weaviate, Milvus, or FAISS
• Develop and train machine learning models for computer vision, speech recognition, and data analysis
• Design and optimize scalable machine learning algorithms
• Integrate AI systems with existing workflows, APIs, and platforms
• Preprocess and prepare large datasets for training and fine-tuning
• Monitor and improve AI system performance through testing and optimization
• Stay current on AI technologies and industry trends
• Debug and troubleshoot technical issues to ensure reliability
• Build intelligent automation systems across robotics and other AI domains

Full Description

Title: AI/ML Python Developer

Location:

Bangalore, Karnataka, IN

Requisition ID: 132260

Job Summary

Were hiring a Software Engineer with expertise in AI/ML platforms and cloud-native microservices.

The role involves designing scalable AI infrastructure, building intelligent agent systems, and optimizing machine learning workflows.

Key skills include Python, TensorFlow, PyTorch, Kubernetes, and experience with tools like Pinecone and FAISS.

Youll work on CI/CD pipelines, RAG systems, and integrate AI models into real-world applications.

Ideal candidates are analytical, innovative, and passionate about building intelligent automation across domains like robotics and data analysis.

Job Requirements

Creative and analytical problem-solving abilities.

Understanding of computer architecture, data structures, programming practices, and cloud technologies.

Skilled in Python and common AI development languages.

Experience with Git, Perforce, and related tools.

Design scalable AI/ML microservices on MCP (Kubernetes, Istio, Serverless).

Develop CI/CD pipelines for MLOps.

Optimize Retrieval-Augmented Generation (RAG) systems.

Perform vector similarity search using Pinecone, Weaviate, Milvus, or FAISS.

Extend intelligent agent frameworks, including rule-based, multi-agent, RL-driven, and LLM assistants.

Proficient with TensorFlow, PyTorch, and AI system tools.

Strong analytical skills for complex problems and efficient solutions.

Knowledgeable in data analysis, big data, and machine learning preprocessing.

Develop and train machine learning models for computer vision, speech recognition, and data analysis.

Design and optimize scalable machine learning algorithms.

Integrate AI systems with existing workflows, APIs, and platforms.

Preprocess and prepare large datasets for training and fine-tuning.

Monitor and improve AI system performance through testing and optimization.

Stay current on AI technologies and industry trends.

Debug and troubleshoot technical issues to ensure reliability.

Build intelligent automation systems across robotics and other AI domains.

Work collaboratively within a team environment to meet goals with high-quality standards.

Ability to follow engineering principles and practices, but also able to develop new methods and approaches to solving unique and difficult problems.

Solid oral and written communication skills, with the ability to share ideas with NetApp teams around the world.

Education

A Bachelor of Science degree in Computer Science or equivalent experience, masters degree is a plus

Minimum of 5 years of software development experience, 7 years is preferred

At least 2 years focused on AI/ML production systems

Certifications.

Industry certifications in AI and machine learning are a plus.

Soft skills.

Strong interpersonal abilities to navigate team dynamics and convey technical concepts clearly.

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