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Product Principal Engineer - Machine Learning

Phenompeople · phenompeople.com
HyderabadLead / Manager10+ yrs
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Posted 9 days ago. 103 more Machine Learning / AI Engineer jobs in Hyderabad went up on company career pages this week. See the newer ones

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Straight from the company’s own careers site.

The job in short

Machine learning engineering for products.

Machine learningNLPRecommendation systemsData scienceProduct management

Details

Found
8 d ago · posted 2026-10-29
Location
Hyderabad, Telangana

Full description

Job Requirements Phenom Intro: Our purpose is to help a billion people find the right job! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! Position Summary: We’re looking for a Machine Learning Principal Engineer to join our team of Phenom. We are expecting below points to full fill this role. • Capable of building accurate machine learning models is main goal of a machine learning engineer • Linear Algebra, Applied Statistics and Probability • Building Data Models • Basic understanding of NLP • Good understanding of multithreaded and object-oriented software development • Mathematics, Mathematics and Mathematics • Collaborate with Data Engineers to prepare data models required for machine learning models • Collaborate with other product team members to apply state-of-the art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems • Build large scale software systems and numerical computation topics • Use predictive analytics and data mining to solve complex problems and drive business decisions • Mentors more than one MLE I • Looking for talented engineers with interests in Machine Learning & Data Science • Build amazing products, you will shape the future of our products What You’ll Do: • Design and implement machine learning, information extraction, probabilistic matching algorithms and models • Research and develop innovative, scalable and dynamic solutions to hard problems • Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head on • Use the latest advances in NLP, data science and machine leaning to enhance our products and create new experiences • Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume • Be a valued contributor in shaping the future of our products and services • You will be part of our Data Science & Algorithms team and collaborate product management and other team members • Be part of a fast pace, fun focused, agile team What You’ve Done: • 10+ years of industry experience • PhD/MS/BTech in computer science, information systems, or similar technical field • Strong mathematics, statistics, and data analytics • Solid coding and engineering skills preferably in Machine Learning • Proficient in Java, Python, and Scala • Industry experience building and productionizing end-to-end systems • Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning • Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc. Benefits: We want you to be your best self and to pursue your passions! • Health and wellness benefits/programs to support holistic employee health • Flexible hours and working schedules, as well as parental leave for new parents • Growing organization with career pathing and development opportunities • Tons of perks and extras in every location for all Phenoms! Diversity, Equity, & Inclusion Our commitment to diversity runs deep! Diversity is essential to building phenomenal teams, products, and customer experiences. Phenom is proud to be an equal opportunity employer taking collective action to build a more inclusive environment where every candidate and employee feels welcomed. We recognize there is more to be done. Our teams are committed to continuous improvement until these powerful ideas are ingrained in our culture for Phenom and employers everywhere!

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