Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment
Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference
Implement best practices for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing
Proven ability to deliver products and experience with the full software development lifecycle
Experience working on large-scale, highly distributed services infrastructure
Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning Artificial Intelligence.
Develop analysis and optimization methods to improve the AI platform Capabilities
Experience working in an operational environment with mission-critical tier-one live site servicing
Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands
Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage
Preferred Qualifications
BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
5+ years of total experience in software development
Hands-on experience developing and maintaining services on a public cloud platform (e.g., AWS, Azure, Oracle)
Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform
Strong proficiency in programming languages such as Python, Java and ML frameworks/libraries such as Tensor flow , Pytorch or scikit-learn
Strong knowledge of Container and its Orchestration technology like Kubernetes, docker
Solid understanding of software engineering principles, including version control , testing and deployment automation
Communicate effectively to multiple stakeholders on value and insights from data
Make Recommendations and influence the AI service roadmap for our platforms services to constantly improve Customer experience.
Mentor other ML engineers/developer, and help them to develop their projects related to experimentation and evaluation.
Craft a measurement strategy to evaluate the performance of complex systems against challenging requirements
Develop robust methods for model monitoring in production and learning from feedback Ability to work with incomplete requirements and handle multiple projects with deadlines
Q1. Triplets with Given Sum Problem Given an array or list ARR consisting of N integers, your task is to identify all distinct triplets within ... read more
Q2. Minimum Cost to Connect All Points Problem Statement Given an array COORDINATES representing the integer coordinates of some points on a 2D... read more
Q3. Square Root (Integral) Problem Statement Given a number N , calculate its square root and output the integer part only. Example: Input: 18 ... read more