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Mayank P.
Senior Corporate Counsel at Amazon Web Services (AWS) Legal
Mayank P. is an Engineering Leader at Amazon Web Services (AWS). His professional background includes experience in engineering and technical account management, with a focus on cloud technologies and solutions. He is currently pursuing a Master's degree in Electrical Engineering, specializing in RF Communication and Signal Processing. His work at AWS involves engaging with clients to help them adopt and optimize cloud services, leveraging his technical expertise to address complex engineering challenges.1
Additionally, Mayank has been involved in various projects related to his master's studies, demonstrating a commitment to advancing his knowledge and skills in the field.1
Highlights
#PeopleManagement/CreatingLeaders What's the difference between Good vs Great Manager wrt creating leaders?
A good manager/mentor "hopes" you will move on or try exploring new challenges vs a great manager/mentor "wants/will push" you to move on and take something new and challenging.
#Experience: My management style has been quite open where if i can't create a challenging opportunity for my directs/mentees for their exponential growth, I push them to try out something new. (It could range from trying out different project/teams, hack on small ideas, explore different products/roles or "even companies"). While this might very unorthodox to conventional management style of reducing attrition, but it plays out very differently in the long run in 2 critical aspect. Firstly, the trust that you create with the team by being open helps to remove any barriers and most of the times ICs/Mentees stick with you and work together to #create that new opportunity within the team. Secondly, if #1 does not pan out, then the trust that you build repays back when due to word of mouth (referrals) new ppl reach out to you and want to work with you in the journey.
**Hiring Senior ML Engineer, Meta (Facebook) London **
Hello All,
I am planning to Hire Senior ML Engineer for my team at Meta in London to work on some interesting problems across brands and creators space. The platform is still in nascent stage and there are great challenging problems to be solved.
If you have experience in building ML/DNN models and want to work in fast paced environment then do reach out to me with your resumes.
**Software Engineer, Machine Learning Responsibilities
• Consistently advance the state of ML for your problem, including setting and executing against roadmaps for 6-month+ timeframes. • Define projects for other engineers to possibly solve and achieve impact based on your direction. • Own the full ML life cycle (https://lnkd.in/dn5Pskg6) for a significant new ML product, including production quality. • You are strong advocate for ML excellence • Code deliverables in tandem with the engineering team
Preferred Qualifications: • MS degree in Computer Science or related quantitative field with 5+ years of machine learning related work or research, or PhD degree in Computer Science or related quantitative field • Experience with filesystems, server architectures and distributed systems
#machinelearning #deeplearning #ml #hiringtech #senior #mlengineer
