Software Engineer(AI/ML Platform)

26WD96480

Position Overview

We are looking for an experienced Software Engineer to join our platform team focusing on AI/ML Platform (AMP). This team builds and maintains central components to fast track the development new ML/AI models such as model development studio, feature store, model serving, model observability. You will have background in MLOps, Data engineering, DevOps with the experience of building high scale deployment architectures, observability. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that inspire value for our organization. You will work along with other senior engineers in the team and reporting to the engineering manager. You will work from Bangalore location in hybrid workplace type.

Roles and Responsibilities

• System design: You will design, implement and manage software systems for the AI/ML Platform, orchestrating the full ML development lifecycle for the partner teams

• Multi-cloud architecture: Define components which leverages strengths from multiple cloud platforms (e.g., AWS, Azure) to optimize performance, cost, and scalability

• Workflow Automation: You will develop comprehensive systems to automate and optimize laborious processes, integrating them seamlessly into our platform to streamline operations

• AI/ML observability: You will build systems for monitoring performance of AI/ML models and finding insights on the underlying data such as drift detection, data fairness/bias, anomalies

• ML Solution Deployment: You will develop tools for building and deploying ML artifacts in production environments, facilitating a smooth transition from development to deployment

• Big Data Management: Automate and orchestrate tasks related to managing big data transformation and processing, building large-scale data stores for ML artifacts

• Scalable Services: Design and implement low-latency, scalable prediction, and inference services to support the diverse needs of our users

• Cross-Functional Collaboration: Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations, fostering a collaborative and cohesive work environment

Minimum Qualifications

• Educational Background: Bachelors degree in Computer Science or equivalent practical experience

• Experience : 2 to 5 years of experience in software development and engineering, delivering production systems and services

• Prior experience working on MLOps or data engineering projects

• Ability to fluently translate the design into functional code in programming language(any one) Python, Golang, Java

• Prior experience of end-to-end ownership at the product feature level. Such as requirements gathering, planning/estimations, implementation, verification, rollout, troubleshooting

• Prior experience of building REST APIs, integrations with cloud technologies, databases, observability tools

• Exposure to DevOps practices, containerization, orchestration tools such as CI/CD, Terraform, Docker, Kubernetes

• Demonstrated creative problem-solving skills with the ability to break down problems into manageable sub-problems

• Experience on Amazon AWS or Azure cloud (beyond Virtual machines, blob storage)

Preferred Qualifications

• Prior collaborations with Data science teams to understand ML terminologies, understanding their pain-points

• Prior experience of on-call rotation for tier-1 services with 24x7 support mechanism

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