We are seeking a talented AI Engineer to design, develop, and scale intelligent systems that encompass everything from data pipelines to autonomous AI agents. This role involves transforming raw data into production-ready AI solutions that are reliable and effective in real-world environments. The successful candidate will collaborate closely with data scientists and engineering teams to build scalable, efficient, and maintainable AI infrastructure, ensuring seamless integration and deployment of AI technologies.
Key Responsibilities:
- Design and implement robust data ingestion pipelines, creating scalable ETL/ELT workflows for both structured and unstructured data sources such as APIs, databases, and real-time streaming platforms.
- Develop AI agents, including those based on large language models (LLMs) or rule-based systems, to facilitate automation, retrieval-augmented generation (RAG), and decision-making processes.
- Deploy and optimize AI backend services by containerizing models using Docker and Kubernetes, building efficient APIs with frameworks like FastAPI or Flask, and managing cloud infrastructure on platforms such as AWS, GCP, or Azure.
- Oversee the full lifecycle of AI models, from fine-tuning and deployment to ongoing performance monitoring, while implementing MLOps best practices including continuous integration/continuous deployment (CI/CD), logging, and drift detection.
Required Qualifications:
- Demonstrated experience designing and building scalable data pipelines and ETL/ELT workflows.
- Proficiency in Python programming and familiarity with API development frameworks such as FastAPI or Flask.
- Hands-on experience with containerization technologies like Docker and orchestration tools including Kubernetes.
- Strong understanding of cloud platforms (AWS, GCP, Azure) and their services relevant to AI deployment.
- Expertise in developing AI agents, particularly those utilizing large language models or rule-based systems.
- Knowledge of MLOps methodologies, encompassing CI/CD pipelines, model monitoring, and drift detection.
Job Type: Full-time
Compensation: Starting from Rs100,000.00 per month
Work Location: On-site (in person)
This position provides an exciting opportunity to work with cutting-edge AI technologies within a collaborative team environment. The role offers the chance to contribute to impactful projects that leverage intelligent automation and advanced machine learning techniques, driving innovation and operational excellence.