Uplers Hiring For Machine Learning Engineer, AI/ML, Content (Remote) at Jamshedpur

Job Description

Experience: 3.00+ years

Salary: INR 499555 / 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, Data preprocessing, Deep Learning, Model evaluation, Natural Language Processing, Pytorch, Reinforcement Learning, TensorFlow, Good Team Player, NLP, Problem Solving Attitude, Python, Strong Attention to Detail

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

• Collaborate with senior members of the team to design, implement, and deploy machinelearning models and systems.
• Participate in all stages of the machine learning development lifecycle, from data collectionand preprocessing to model evaluation and deployment.
• Work closely with cross-functional teams to understand business requirements and translatethem into machine learning solutions.
• Contribute to the improvement of existing machine learning pipelines and infrastructure.
• Stay up to date with the latest trends and technologies in machine learning and shareknowledge with the team.

Who You Are

• You are an experienced machine learning engineer with experience in developing and deploying machine learning models.
• You have a solid understanding of machine learning concepts and algorithms, with hands-on experience in at least one framework such as TensorFlow or PyTorch.
• You have strong problem-solving skills and attention to detail.
• You are eager to learn and grow in a collaborative team environment.
• You have good communication skills and can effectively communicate technical concepts to both technical and non-technical stakeholders.

Requirements :

• Bachelor’s degree in computer science, Engineering, Mathematics, or a related field.
• 3+ 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.
• Familiarity with machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of software development best practices, version control systems, and collaborative coding workflows, CI/CD, and automated testing.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative 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!