Role : AI/ML Engineering / Full Stack Development

Job Overview :

We are looking for a Sr. AI/ML Engineer with 6+ years of experience in software engineering and AI/ML application development. The ideal candidate should have strong hands-on experience in Python, Django, FastAPI, Microservices, containerized applications, and CI/CD automation. The candidate will be responsible for designing, developing, integrating, and deploying scalable AI/ML-enabled applications and backend services in a modern cloud-native environment.

Key Responsibilities :

- Design and develop scalable AI/ML-enabled applications and backend services using Python.

- Build and maintain microservices using Django, FastAPI, and related Python frameworks.

- Develop secure, scalable, and high-performance REST APIs for application and system integration.

- Integrate AI/ML models and services into production applications and enterprise workflows.

- Develop reusable, modular, and maintainable application components following software engineering best practices.

- Build and deploy containerized applications using Docker and other container technologies.

- Develop and maintain CI/CD pipelines for automated build, testing, deployment, and release processes.

- Collaborate with DevOps and cloud teams to deploy and manage applications across different environments.

- Troubleshoot application, API, deployment, and production issues and implement effective solutions.

- Participate in design discussions, code reviews, technical documentation, and architecture decisions.

- Work closely with Data Scientists, AI/ML Engineers, Architects, QA, DevOps, and Product teams.

- Follow Agile/Scrum practices and contribute across the complete software development lifecycle.

Required Skills & Experience:

- 6+ years of overall software engineering/application development experience.

- Strong hands-on experience with Python.

- Strong experience with Django and/or FastAPI.

- Minimum 2 - 3 years of hands-on experience developing microservices.

- Strong experience developing and integrating REST APIs.

- Hands-on experience with Docker and containerized applications.

- Good understanding of microservices architecture and distributed systems.

- Experience with CI/CD automation and DevOps practices.

- Experience with Git and modern software development practices.

- Strong debugging, problem-solving, and troubleshooting skills.

- Good understanding of Agile/Scrum methodologies.

- Strong communication and collaboration skills.

AI/ML Skills:

- Good understanding of AI/ML concepts and application development.

- Experience integrating AI/ML models or services into production applications.

- Understanding of model serving, inference APIs, and AI/ML integration.

- Exposure to Generative AI, LLMs, RAG, or AI-powered applications is a plus.

- Familiarity with AI/ML frameworks and MLOps practices is desirable.

Good to Have:

- Experience with Kubernetes and cloud platforms such as AWS, Azure, or GCP.

- Experience with Kafka or other messaging platforms.

- Experience with SQL/NoSQL databases such as PostgreSQL, MySQL, or MongoDB.

- Exposure to application monitoring and observability tools such as Splunk, Datadog, Grafana, or Prometheus.

- Experience with cloud-native and event-driven architectures.