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Python Developer-AI/ML

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Onsite

Python Developer-AI/ML

Srs Business Solutions India

Python Developer-AI/ML

Skills

Google Cloud PlatformSQL QueriesMongoDBDockerDjangoFlaskPythonTesting & QAMicroservicesPostgreSQLMySQLKafkaRedisRabbitMQGitMachine LearningAIAWSKubernetesFastAPIAzure

8 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


Job highlights

  • 5+ years Python development experience with Django/Flask/FastAPI, REST API, SQL/NoSQL databases, and AI/ML integration knowledge
  • Design, develop, test, and maintain scalable Python applications and backend services; implement APIs, optimize databases, ensure security, and collaborate across teams

Hello,

We are hiring for "Python Developer-AI/ML" for Hyderabad location.

Job Title: Python Developer-AI/ML

Experience: 5 to 12 Years

Employment Type: Full-Time

Location: Hyderabad

Interview Mode: Face to Face

Work Mode: 5 days Work From Office

Notice Period: Immediate joiners(notice period served or serving candidate)

NOTE: We are looking for Immediate joiners(notice period served or serving candidate)

Apply only If you are Immediate joiners(notice period served or serving candidate

Apply only if you are having 5+Years of relevant experience as per the JD.

Job Summary

We are looking for an experienced Python Developer with strong expertise in Python programming, backend development, API development, and database management. The ideal candidate should have hands-on experience building scalable, reliable, and high-performance applications using Python frameworks and modern development practices.

Roles and Responsibilities

  • Design, develop, test, and maintain scalable applications using Python.
  • Develop backend services and RESTful APIs using Django, Flask, or FastAPI.
  • Write clean, reusable, maintainable, and efficient code following industry best practices.
  • Design, implement, and optimize database queries using SQL and NoSQL databases.
  • Integrate third-party APIs and external services with existing applications.
  • Implement authentication, authorization, data validation, and application security.
  • Identify and resolve performance bottlenecks, production issues, and technical defects.
  • Write unit tests and integration tests using PyTest, unittest, or equivalent frameworks.
  • Collaborate with frontend developers, QA engineers, DevOps teams, and business stakeholders.
  • Use Git for version control and participate in code reviews.
  • Work with CI/CD pipelines, Docker, and cloud platforms such as AWS, Azure, or GCP.
  • Participate in Agile ceremonies, technical discussions, effort estimation, and sprint planning.
  • Monitor application performance and ensure reliability, scalability, and code quality.
  • Contribute to technical documentation and continuous improvement initiatives.

Required Technical Skills

  • Minimum 5+ years of professional experience in Python development.
  • Strong knowledge of Python fundamentals, OOP concepts, data structures, and exception handling.
  • Hands-on experience with at least one Python framework: Django, Flask, or FastAPI.
  • Strong experience in REST API development and integration.
  • Good understanding of SQL databases such as PostgreSQL, MySQL, or SQL Server.
  • Familiarity with NoSQL databases such as MongoDB or Redis.
  • Experience with Git, unit testing, debugging, and code optimization.
  • Understanding of asynchronous programming, multithreading, and multiprocessing.
  • Knowledge of application security, logging, and performance optimization.
  • Familiarity with Docker, CI/CD, and cloud environments.
  • Understanding of software development lifecycle (SDLC) and Agile methodologies.

Preferred Skills

  • Experience with microservices architecture.
  • Knowledge of message brokers such as Kafka or RabbitMQ.
  • Experience with Celery or other background task processing tools.
  • Familiarity with Kubernetes and infrastructure automation.
  • Exposure to data processing, AI/ML integration, or Generative AI applications.
  • Experience with monitoring and observability tools.

Educational Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

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