Experience : 8.00+ years Salary : INR 490476 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full-time Permanent position(Payroll and Compliance to be managed by: Kaamwork) (*Note: This is a requirement for one of Uplers' client - TripAdvisor) What do you need for this opportunity Primary Skills: ML frameworks like Tensorflow and PyTorch, distributed computing (e.g. Snowflake, Apache Spark, Ray), Experience with online businesses, streaming architecture, e.g. Kinesis, Apache Kafka, Automated Testing, CI/CD, Machine Learning, MLFlow, model tracking, Software Engineering, AWS, Docker, Java, Jenkins, Kubernetes, Python, SQL TripAdvisor is Looking for: Who we are: We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. Our team is building out a next generation Machine Learning Platform for all data scientists and machine learning engineers across all of Tripadvisor's brands. Our mission is to empower data scientists to work independently and scale their productivity to enable broader and deeper utilization of machine learning techniques to help improve the business performance. Tripadvisor hosts over 400 million monthly active visitors and operates across multiple cloud environments. Our data is at the petabyte scale, requiring a scalable, efficient, and reliable machine learning platform to support it. We are seeking a talented, experienced, Senior Machine Learning Engineer to pave the way towards revolutionizing how we leverage data and Machine Learning. Candidates will have the opportunity to influence how we build and scale our ML platform and methodologies for all of data science to take advantage of, leverage Kubernetes and a variety of open source software and frameworks (including Kubeflow, Mlflow, Seldon) We leverage Kubernetes and a variety of open source software (e.g. Kubeflow, Seldon, Istio, Mlflow) to train and deploy over one hundred models serving a billion requests per day. What you'll do: Design, deploy, and manage scalable and efficient infrastructure for machine learning development, testing, and production environments. Implement frameworks and best practices for building automated machine learning pipelines to build, train, and deploy models seamlessly and consistently across various environments. Establish monitoring and logging systems to track the performance, health, and usage of platform infrastructure and deployed machine learning models. Set up mechanisms for continuous monitoring of model performance and implement processes for automated retraining. Implement alerts and dashboards to proactively identify and address issues. Optimize and scale machine learning infrastructure to handle varying workloads, and collaborate with cross-functional teams to analyze and address performance bottlenecks. Implement security and governance measures to protect machine learning models, data, and infrastructure. Collaborate closely with data scientists to understand requirements and needs for building models and pipelines, and to facilitate the integration of said components into production systems. Define and enforce engineering best practices to ensure high-quality deliverables Document processes and best practices for the team, and conduct knowledge-sharing sessions with data science to educate them on best practices and tools. Participate in the code review process to ensure our code quality standards are met Stay up-to-date with the latest ML platform technologies and trends to identify opportunities for product innovation This Role Requires: What we are looking for: You have a BS or MS in Computer Science or equivalent 8+ years of experience of commercial software development Strong background in machine learning engineering or operations Demonstrated excellence participating on cross functional teams in fast-paced environments, both in terms of technical leadership and hands-on coding. Excellent ability to break down complex problems into simple solutions Willingness and ability to learn, evaluate, and make recommendations for leveraging new technologies. Strong analytical skills and desire to write clean, correct and efficient code. Sense of ownership, urgency and pride in your work. Proven that you are a leader who prioritizes, communicates clearly, and partners effectively with both technical and non-technical employees. Excellent command of tools and expertise for troubleshooting production issues. Experience with Python or Java Experience with Docker Experience following Software Engineering best-practices including source control, code reviews, CI/CD, and automated testing Ability to write complex SQL queries Experience building data pipelines with orchestration tools (e.g. Kubeflow, Argo, Jenkins) Experience deploying and maintaining models in cloud environments (e.g. AWS, Azure, GCP) Experience with model tracking and deployment tools (e.g. MLflow, Seldon, Sagemaker) Nice to have: Experience with Kubernetes Experience with Recommendation Systems Experience with online businesses Experience with ML frameworks like Tensorflow and PyTorch Experience with streaming architecture, e.g. Kinesis, Apache Kafka Experience with distributed computing (e.g. Snowflake, Apache Spark, Ray) How to apply for this opportunity Register or login on our portal & fill out the application form. Clear the given AI Screening (30 min) and Click on 'Apply' to get shortlisted Once it's all done, your profile will be shared with the client for the Interview round. When selected, just meet the client and get your exciting career started! About our Client - TripAdvisor: Tripadvisor, the world's largest travel guidance platform*, helps hundreds of millions of people each month** become better travelers, from planning to booking to taking a trip. Travelers across the globe use the Tripadvisor site and app to discover where to stay, what to do and where to eat based on guidance from those who have been there before. With more than 1 billion reviews and opinions of nearly 8 million businesses, travelers turn to Tripadvisor to find deals on accommodations, book experiences, reserve tables at delicious restaurants and discover great places nearby. As a travel guidance company available in 43 markets and 22 languages, Tripadvisor makes planning easy no matter the trip type. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
