Job title: Senior Machine Learning Engineer, AI/ML, Content – Remote

Company: Uplers

Job description: Experience : 5.00+ years Salary : INR 619047 / 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: Collaboration, Communication, Automated Testing, CI/CD, Data Structure, Deep Learning, MLFlow, Natural Language Processing, Pytorch, Reinforcement Learning, Sagemaker, Snowflake, TensorFlow, AWS, Jenkins, Machine Learning, NLP, Problem Solving Attitude, Python, SQL TripAdvisor is Looking for: Roles and Responsibilities : About The Role The Tripadvisor Machine Learning Team is looking for an exceptional individual to lead a team working on designing and building next-generation AI systems to understand our travelers and products and improve customer experience. Our work will significantly improve our ability to offer travelers the broadest, most relevant travel products. You will work on a team with other talented machine learning engineers focusing on content-related AI projects. Our initiatives aim to enhance user-generated content accessibility for travelers through AI Review Summaries, Collections, Auto-Tagging & Knowledge Graphs, topic classification, machine translation, and more. This foundational work improves travelers’ exploration of our content and plan their dream vacation! You’ll work with cutting-edge technologies including Natural Language Understanding, Large Language Models (LLMs), Knowledge Graphs, and GenAI. Tripadvisor is the web’s leading travel information site. At Tripadvisor, the Machine Learning Team creates systems that influence the travel decisions of millions of people per day. It applies cutting-edge machine learning techniques to a wide variety of areas, including recommenders, vision, information retrieval, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel! What You Will Do Lead the design, development, and deployment of machine learning models and systems in production. Develop advanced techniques in natural language understanding (NLU), statistical NLP, language modeling, transfer learning, in-context learning (zero-shot, few-shot, etc.), recommender systems, learning-to-rank models, statistical inference and deep learning. Collaborate with cross-functional teams to identify opportunities and develop solutions to complex problems. Stay current with the latest advancements in machine learning and apply them to improve existing systems and processes. Mentor junior team members and provide technical guidance and expertise. Drive innovation and contribute to the overall growth and success of the machine learning team. Design A/B tests and analyze their results. Who You Are You are an experienced machine learning engineer with a strong background in developing and deploying production-grade models. You have a proven track record of leading projects from conception to completion, delivering high-quality results on time and within budget. You thrive in a fast-paced environment and are able to adapt quickly to changing priorities and requirements. You are a proactive problem-solver with excellent communication and collaboration skills. You are passionate about machine learning and are committed to continuous learning and professional development. Requirements : Qualifications Ph.D. or Masters degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred. 5+ years of experience in machine learning engineering or a related field. Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, etc. Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing. Solid foundation of data structures and algorithms. Experience following Software Engineering best practices including source control, code reviews, CI/CD, and automated testing. Ability to write efficient and maintainable SQL queries. Experience deploying machine learning models in production environments using cloud platforms such as AWS or GCP, using Docker and Kubernetes. Experience with distributed computing: Snowflake, Apache Spark, Ray. Experience building data pipelines with tools such as Kubeflow, Argo, and Jenkins. Experience with model tracking and deployment tools such as MLFlow, Seldon, and Sagemaker. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. How to apply for this opportunity Register or login on our portal & fill out the application form. Clear the given Video 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!

Location: Ranchi, Jharkhand

Job date: Sun, 05 May 2024 22:03:20 GMT