Posted on: 20/01/2026
Description :
Shift Timing : General Shift
Employment Type : Full Time
Education Qualification : Bachelor's degree in computer science or related field or higher with minimum 3 years of relevant experience.
The ideal candidate will have a strong background in developing and deploying machine learning models, implementing AI algorithms, and managing backend systems and integrations. You will play a key role in shaping the future of our technology by integrating cutting-edge AI/ML techniques into scalable backend solutions.
Your future duties and responsibilities :
- Develop, optimize, and maintain backend services for AI/ML applications.
- Implement and deploy machine learning models to production environments.
- Collaborate closely with data scientists and frontend engineers to ensure seamless integration of backend APIs and services.
- Monitor and improve the performance, reliability, and scalability of existing AI/ML services.
- Design and implement robust data pipelines and data processing workflows.
- Identify and solve performance bottlenecks and optimize AI/ML algorithms for production.
- Stay current with emerging AI/ML technologies and frameworks to recommend and implement improvements.
Required qualifications to be successful in this role :
Must to have Skills :
- Python, TensorFlow, PyTorch, scikit-learn
- Machine learning frameworks: TensorFlow, PyTorch, scikit-learn
- Backend development frameworks: Flask, Django, FastAPI
- Cloud technologies: AWS, Azure, Google Cloud Platform (GCP)
- Containerization and orchestration: Docker, Kubernetes
- Data management and pipeline tools: Apache Kafka, Apache Airflow, Spark
- Database technologies: SQL databases (PostgreSQL, MySQL), NoSQL databases (MongoDB, Cassandra)
- Vector Databases: Pinecone, Milvus, Weaviate
- Version Control: Git
- Continuous Integration/Continuous Deployment (CI/CD) pipelines: Jenkins, GitHub Actions, GitLab CI/CD
- Minimum of 3 years of experience developing backend systems, specifically in AI/ML contexts.
- Proven experience in deploying machine learning models and AI-driven applications in production.
- Solid understanding of machine learning concepts, algorithms, and deep learning techniques.
- Proficiency in writing efficient, maintainable, and scalable backend code.
- Experience working with cloud platforms (AWS, Azure, Google Cloud).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Good to have Skills :
- Java (preferred), Scala (optional)
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Posted by
Posted in
Backend Development
Functional Area
ML / DL / AI Research
Job Code
1603530