Shift Timing-General ShiftEducation Qualification: Bachelor's degree in computer science or related field or higher with minimum 4 years of relevant experience.We are seeking an experienced AI/ML Backend Developer to join our dynamic technology team. 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.
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.
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/CDMinimum of 4 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)

Keyskills: algorithms scikit-learn artificial intelligence java aws continuous integration kubernetes scala airflow ci/cd microsoft azure sql docker nosql django spark cassandra jenkins mysql flask