Senior Engineer at IKS Health

Navi Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Infrastructure, MLOps, CI/CD, Python, Java, Go, Kubernetes, Docker, Jenkins, MLflow, Kubeflow, AWS, GCP, Azure, Software Architecture, Data Structures

Industry

Hospitals and Health Care

Description

Key Responsibilities 1. Build AI Infrastructure: Contribute to the development and maintenance of scalable, reliable, and efficient infrastructure for training and deploying machine learning models. 2. MLOps & Automation: Implement and maintain CI/CD pipelines for machine learning models, helping to automate the entire lifecycle from data preparation to model monitoring. 3. Production Deployment: Deploy and maintain machine learning models in our production environments, ensuring high availability, low latency, and scalability. 4. Software Development: Write clean, high-quality, and production-ready code to support AI/ML initiatives. 5. Cross-Functional Collaboration: Partner with data scientists, other engineers, and product managers to understand model requirements and translate them into robust engineering solutions. 6. Performance Optimization: Help monitor and optimize the performance of our AI systems, including model inference speed, resource utilization, and cost-effectiveness. 7. Technology & Tooling: Work with modern tools, frameworks, and technologies in our AI engineering stack and stay current with the latest advancements in the field. 8. Code Quality & Best Practices: Maintain and adhere to high standards for code quality, testing, and documentation. Qualifications & Skills * Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. * Professional Experience: 3+ years of professional software engineering experience, with at least 1-2 years focused on AI/ML engineering, MLOps, or a similar backend role. * Software Engineering Excellence: Strong proficiency in a major programming language (e.g., Python, Java, Go) and a solid foundation in software architecture, data structures, and algorithms. * MLOps Knowledge: Hands-on experience building or maintaining MLOps pipelines using tools like Kubernetes, Docker, Jenkins, MLflow, Kubeflow, or similar technologies. * Cloud Proficiency: Experience with at least one major cloud platform (AWS, GCP, or Azure) and its core services. Familiarity with its AI/ML services is a plus. * Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues. Preferred Qualifications * Experience with large-scale data processing technologies (e.g., Apache Spark, Kafka). * Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation. * Experience optimizing deep learning models for inference (e.g., using TensorRT, ONNX). * A passion for building and shipping products with AI at their core.

Responsibilities

The role involves building and maintaining scalable AI infrastructure and MLOps pipelines to automate the machine learning lifecycle. The engineer will deploy models into production while optimizing for performance, latency, and cost-effectiveness.