AI Engineer-Immediate joiners

Job description

**Job Title: AI Software Engineer** **Overview:** We are seeking a highly skilled **AI Engineer** with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as **Gen AI,** **Natural Language Processing (NLP), LLM, Computer Vision, Video Processing, Text Extraction, Dubbing,Transcription, and Translation**, **Text to Video Generation, Recommendation System, Automated TV Subtitling** and be proficient in building scalable, production-ready systems using modern cloud platforms. **Responsibilities:** - Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. - Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. - Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. - Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. - Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. - Follow best practices in software engineering, including CI/CD, testing, and documentation. **Requirements:** - Bachelors or Master’s degree in Computer Science, Engineering, or a related field. - AI/ML experience, especially in **Gen AI**, **NLP, LLM, Computer Vision, Video Processing, Text Extraction, Dubbing, Transcription, Translation**, **Text to Video Generation, Recommendation System, Automated TV Subtitling** is highly desirable. - Proven experience as a senior software or data engineer, with a strong backend focus. - Advanced proficiency in **Python**, demonstrated through real-world projects. - Practical experience with backend technologies and frameworks. - **SQL, PySpark** and Data engineering experience is a strong advantage. - Expertise in **Microsoft Azure**, including **Azure AI Services** and **Cognitive Services**. - Familiarity with **AWS**, **AWS AI Services / Google Cloud Platform (GCP).** - Strong knowledge of **CI/CD frameworks / MLOps** and DevOps practices. - Experience with **Docker** and **Kubernetes** for containerization and orchestration.