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Technical Manager - ML


Uplers


Location

Agra | India


Job description

Experience: 9.00+ years

Salary : INR 500000-650000 / 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:

Spark, Team management, AWS, Docker, Kubernetes, Machine Learning, Problem Solving Attitude, Python

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, Team Lead or Technical Manager to pave the way towards revolutionizing how we leverage data and Machine Learning! 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:

  • Build and lead a high-performing technical team by hiring, training, and mentoring engineers of all levels
  • Foster a collaborative and innovative team culture
  • Lead the team and development of scalable and efficient machine learning platform products and infrastructure from ideation to completion.
  • Develop project plans, timelines, budgets, and resource allocation strategies, and ensure projects are delivered on time and within scope and budget.
  • Collaborate with data science and product engineering leads on cross-functional teams across the globe to ensure product development aligns with business goals.
  • Define and enforce engineering best practices to ensure deliverables are complete, on time, and meeting a high-quality standard.
  • Stay up-to-date with the latest ML platform technologies and trends to identify opportunities for product innovation and cost savings.
  • Communicate effectively with technical and non-technical stakeholders to ensure alignment on project goals, commitments, and timelines.

Additional NOTES:

Is this a contractor role

  • No. TripAdvisor is engaging you just like they engage any other full-time colleague - you go through their standard full time interview process and they decide your salaries as well as your work deliverables and performance appraisals. Also, with the Kaamwork model, all your employment rights including statutory benefits, leaves, and termination clauses are well protected.

What is kaamwork's role in this arrangement

  • Kaamwork is the on-the-ground HR partner managing services like talent sourcing, employment contracts, payroll, and compliance. Kaamwork serves as the Employer of Record while Trip managers all work-related decisions and operations.

This Role Requires:

What we are looking for:

  • You have a BS or MS in Computer Science or equivalent
  • 9+ years of experience of commercial software development
  • 3+ years leading and / or managing others
  • Experience managing remote teams across different time zones is a plus
  • 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 take on 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, Docker, Kubernetes, Kubeflow, Seldon, Spark and AWS / Azure cloud service experience is a plus.
  • Exposure to Machine Learning practices and platforms
  • Computer Science degree or equivalent experience.

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!


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