Requirements and responsibilities
Are you passionate about building scalable ML infrastructure and production-grade AI systems? We're looking for a highly skilled SDE III – MLOps Engineer to help drive the development, deployment, and optimization of machine learning platforms at scale. This role is ideal for engineers who thrive at the intersection of Software Engineering, MLOps, Cloud Infrastructure, and Machine Learning.What We're Looking For5+ years of software engineering experience with strong expertise in PythonHands-on experience with model lifecycle management platforms such as: MLflow Weights & Biases (W&B) Equivalent MLOps toolingExperience working across the data ecosystem: Data quality Data transformation Data cataloging and governanceStrong experience with machine learning frameworks, particularly: PyTorchTechnical ExpertiseExperience optimizing ML models using hardware acceleration technologies: AWS Neuron ONNX TensorRTProven experience designing and operating AWS serverless architecturesDeep understanding of event-driven architectures and messaging systems: AWS SQS AWS SNS Serverless caching solutionsExperience with: Docker Containerized applications Container orchestration environmentsStrong knowledge of RESTful API design, development, and integrationProficiency in writing secure, maintainable, and high-quality codeExperience with static code analysis tools and software quality best practicesWhat Makes You SuccessfulStrong analytical and problem-solving skillsSolid foundation in Computer Science fundamentals: Algorithms Data Structures Complexity Analysis System DesignExcellent communication skills with the ability to collaborate across engineering, product, and data teamsWhy Join?Build and scale AI/ML platforms powering real-world applicationsWork with cutting-edge cloud and machine learning technologiesInfluence architecture and engineering best practicesCollaborate with a talented, high-impact team in a fast-growing SaaS environment📩 Interested candidates can share their profile/resume at: gaurav@grizmolabs.com
Optionally, you can add more information later (benefits, pre-screening questions, etc.)