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Engaged Employer

Allianz Services

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4.3

based on 423 Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mid-Sized Company - 2024

Top Rated Financial Services Company - 2024

39 Allianz Services Jobs

Senior Analyst - Automation

Allianz

4.3

based on 423 Reviews

3-5 years

Pune

1 vacancy

Senior Analyst - Automation

Allianz Services

posted 15hr ago

Job Role Insights

Flexible timing

Key skills for the job

SAP BusinessObjects Data Structures and Algorithms Multithreading Design Patterns

Job Description

Degree in Computer Science or related field

4 to 7 years of working experience as a software developer in AI-focused cloud/container application development

A solid foundation in computer science, with strong competencies in algorithms, data structures, objects-oriented programming, design patterns, multi-threaded programming, and software design principles

Sound experience in cloud native development

Strong coding development and debugging skills, including hands-on experience with Java, JavaScript, GoLang and Python

Hands-on experience in developing REST APIs using frameworks such as Flask, FastAPI etc Strong background with Java or JavaScript/TypeScript development building scalable APIs using Spring Boot, Nodejs, Knowledge of Angular/React/Vuejs

Strong background in machine learning and deep learning algorithms

Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models

Generative AI frameworks Langchain, LlamaIndex,

Agentic Frameworks AutoGen, Semantic kernel, crewAI, promptflow,Langflow, Langraph

Deep understanding of transformer architectures and diffusion models

Experience in generative AI techniques such as GANs and VAEs

Ability to design and implement scalable and efficient AI systems

Experience working with DevOps including but not limited to container technologies like Docker Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy

Hands-on experience with frontend frameworks (React, Angular, Vue) and backend technologies (Nodejs, Django, Flask)

Cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes)

Strong understanding of database technologies (SQL, NoSQL, vector databases,Graph databases)

Knowledge of prompt engineering, fine-tuning, and embeddings for AI applications

Familiarity with MLOps tools like MLflow, Kubeflow, or SageMaker

Prior experience deploying AI-driven applications in production environments

Experience working with message queues such as Kafka and a clear understanding of pub-sub systems is bonus

Key Responsibilities

Generative AI Development

Research, fine-tune, and deploy generative AI LLM models for specific use cases

Design and implement solutions for text generation, image synthesis, conversational AI, and more

Optimize AI models for performance, scalability, and real-time applications

Backend Development

Build robust APIs and microservices to integrate AI models into web and mobile applications

Develop efficient data pipelines for model training and inference

Work with databases (SQL/NoSQL) Vector DB/Graph DB to handle structured and unstructured data

Ensure backend systems are secure, scalable, and capable of handling AI workloads

Frontend Development

Create intuitive user interfaces for applications powered by generative AI/ AI

Collaborate with designers to bring AI-driven user experiences to life using frameworks like React, Angular, or Vue

Implement dynamic visualizations or outputs generated by AI models

Cloud and Deployment

Deploy AI models and full-stack applications on cloud platforms (AWS, Azure)

Implement MLOps practices for model lifecycle management, monitoring, and retraining

Use containerization and orchestration tools (Docker, Kubernetes) to ensure scalability and reliability

Your benefits:

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working inclup to 25 days per year working from abroad

We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)

From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered

Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach

Employment Type: Full Time, Permanent

Read full job description

Prepare for Automation Analyst roles with real interview advice

What people at Allianz Services are saying

Automation Analyst salary at Allianz Services

reported by 4 employees

₹3.1 L/yr - ₹6.4 L/yr

21% less than the average Automation Analyst Salary in India

View more details

What Allianz Services employees are saying about work life

based on 423 employees

58%

91%

71%

58%

Flexible timing

Monday to Friday

No travel

Day Shift

View more insights

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Allianz Services Pune Office Location

View all

Pune (1)

Pune, Maharashtra Office

Allianz Services Private Limited | Cluster C, 5th Floor, EON Free Zone, Kharadi, Pune, Maharashtra, India – 411014 Pune, Maharashtra