Senior AI Engineer
- Position - 02
- Job Location - Ahmedabad
- Qualification - Any
- Working Hours - Full-Time
- Years of Exp - 4 – 5 Years
About us
Bytes Technolab is expanding its AI and data engineering capabilities and is looking for a Senior AI Engineer who can design, develop, and deploy intelligent systems that solve real business problems.
The ideal candidate will be a strong problem solver with architectural thinking, capable of building scalable AI systems, optimizing performance, and integrating machine learning solutions into production environments. You will work with large datasets, modern AI infrastructure, and cloud technologies while collaborating with cross-functional teams.
Roles & responsibilities
- Design, develop, and deploy AI and machine learning solutions for real-world business problems.
- Build and maintain ML models and intelligent automation systems.
- Integrate AI capabilities into existing applications and platforms.
- Design modular, scalable, and maintainable AI systems.
- Build robust backend services and APIs for AI-powered applications.
- Ensure systems are optimized for performance, latency, and reliability.
- Work with large datasets and build data processing pipelines.
- Design data workflows and orchestration pipelines.
- Ensure reliable data ingestion, processing, and model deployment.
- Debug non-deterministic AI outputs and model behavior.
- Optimize systems for performance, scalability, and latency.
- Improve model accuracy and operational efficiency.
- Work closely with product teams, engineers, and data specialists.
- Participate in technical design discussions and solution architecture.
- Contribute to delivering high-quality AI solutions aligned with business needs.
Skills required
- Strong problem-solving skills, especially with complex AI behaviors.
- Ability to design scalable and maintainable AI architectures.
- Experience working with production-level AI systems.
- Strong experience building backend systems for AI applications.
- Knowledge of data pipelines and infrastructure.
- Strong experience with FastAPI for building APIs and AI services.
- Experience with Apache Airflow or Celery for task scheduling and pipeline management.
- Proficiency with PostgreSQL (structured data).
- Experience with MongoDB (NoSQL / document databases).
- Experience with Docker containerization.
- Hands-on experience with cloud platforms such as: 1. AWS (SageMaker / Bedrock) 2. Microsoft Azure
Good to Have
- 4–5 years of experience in AI engineering, machine learning, or data engineering
- Experience building AI systems deployed in production
- Strong knowledge of Python-based AI development
- Experience with modern cloud-based AI infrastructure
- Passion for solving complex business problems using AI