As an AI/ML Engineer at Rayosys Services, you will be responsible for architecting and deploying sophisticated machine learning models that power our core service offerings.
You will work closely with cross-functional teams, including data scientists, software engineers, and product stakeholders, to bridge the gap between experimental research and scalable production environments.
Your work will directly influence the performance of our AI-driven platforms, ensuring that our clients receive robust, high-availability solutions that translate raw data into actionable business intelligence.
Key Responsibilities:
- Design and implement end-to-end machine learning pipelines to automate data processing and model training workflows for diverse client projects.
- Develop and fine-tune Generative AI and LLM-based applications to enhance automation capabilities and user interaction models.
- Build and maintain CI/CD pipelines for ML models to ensure seamless integration, testing, and deployment across cloud environments.
- Optimize model performance and scalability by leveraging AWS SageMaker and containerization technologies like Docker.
- Collaborate with engineering teams to integrate AI features into existing Java-based enterprise architectures, ensuring system stability and performance.
- Monitor and manage the lifecycle of production models, implementing MLOps best practices to track performance and mitigate data drift.
Required Skillset:
- Demonstrated proficiency in Python and Java, with the ability to write clean, maintainable, and efficient code for large-scale systems.
- Deep expertise in Machine Learning, Deep Learning, and Data Science libraries such as Numpy, Pandas, and SQL for complex data manipulation and analysis.
- Proven ability to deploy and manage AI models using AWS and AWS SageMaker, with a strong understanding of cloud-native architectures.
- Experience in building and managing MLOps frameworks, including CI/CD pipelines and Docker containerization to ensure reliable model delivery.
- Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders effectively.
- A minimum of 6 - 12 years of professional experience in developing AI/ML solutions within a fast-paced, collaborative environment.
- Ability to work effectively across our key locations in Delhi NCR, Mumbai, Pune, Tamil Nadu, Chennai, Noida, Gurgaon/Gurugram, and Indore, adapting to the specific operational requirements of each hub.
Rayosys Services