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Senior Machine Learning Engineer

3 months ago

Bengaluru, Karnataka, India Microsoft Full time
Overview

At Microsoft, we're passionate about pushing the boundaries of generative artificial intelligence (AI) and natural language understanding.

Our Azure Machine Learning Training and Finetuning Team is at the forefront of this mission, working on groundbreaking projects that shape the future of AI-driven applications.

We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users.

Qualifications

Required:
Min 8 years of relevant e-xperienceDepth in Data Science, Generative AI and EngineeringBackground in machine learning, deep learning, and natural language processingProficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)


Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion)Good understanding of statistics, linear algebra, and probability theoryFamiliarity with cloud platforms (e.g.

, Azure, AWS) and distributed computingExcellent problem-solving skills and the ability to work independently and collaborativelyPreferred:

Preferred training & fine-tuning experience on large data#IDCAIPlatformHiringAbility to meet Microsoft, customer and/or government security screening requirements are required for this role.

These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:

This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Responsibilities

As a (Senior)

Machine Learning Engineer in our team, you will:

Collaborate with researchers and data scientists to design sophisticated machine learning modelsImplement and fine-tune neural network architectures, including transformer-based modelsOptimize model performance, scalability, and efficiencyConduct experiments to evaluate model performance, robustness, and generalizationExplore novel techniques and approaches to enhance model capabilitiesStay up to date with the latest advancements in NLP, deep learning, and AI researchWork with large-scale datasets, preprocess them, and create appropriate data representationsSelect relevant features and ensure data quality for training and evaluationCollaborate with cross-functional teams, including researchers, software engineers, and product managersCommunicate technical findings and insights effectivelyDeploy trained models in production environmentsMonitor model performance, troubleshoot issues, and iterate on improvementsBenefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect