Senior Machine Learning Engineer, AWS Generative AI Innovation Center
Amazon Web Services
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This role on the market
113 open generative roles across 39 companies are on ApplySarthi right now, most of them in Pune (4), Bengaluru (4), Hyderabad (3).
- Associate Director Generative Engine OptimisationBursonglobalcareers
- Lead Solutions Architect - Generative AI (EMEA Emerging DNB)databricks
- Generative AI Application DevelopersZensar · pune
- Product Designer, Generative Media (Staff-Level / L6)Synthesia
- Senior ML Research Scientist – AI & Generative Recommendation (m/f/d)adjoe
What generative roles keep asking for: Generative AI (54%), Python (30%), AWS (26%), Machine learning (21%), LLMs (20%), RAG (17%), Azure (16%), Java (15%) — counted across their open postings here.
Remote Machine Learning Engineer jobs · C# jobs · Computer vision jobs · Deep learning jobs · Generative AI jobs
Amazon Web Services has 2,164 open roles listed here.
- Innovation Programs Lead, APJ Innovation and Engagementbengaluru
- Sr Solutions Architect, ISV PE, ISV, Private Equity
- Sr. Technical Account Manager, ES - WWPS
- Specialist Solutions Architect, Data, WWSO Data APJC
- Partner Sales Manager, Partner Sales Japan, AWS Partner Field APJ
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for generative roles keep coming back to Generative AI, Python, AWS, Machine learning. Practise those questions before you sit with Amazon Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Senior Machine Learning Engineer, AWS Generative AI Innovation Center at Amazon Web Services interview free →Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Basic qualifications: - Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - 5+ years of professional software and systems development experience - Knowledge of at least one programming language such as Java, C#, JavaScript, Python, Ruby or Perl - Experience as a mentor, tech lead or leading an engineering team, or experience managing teams - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications - Japanese language proficiency and Business-level English communication skills Preferred: - 2+ years of experience in developing, deploying or optimizing ML models - 5+ years of experience in the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Advanced degree in computer science, computer engineering, or related field - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience (non-internship) in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Listed on amazon · posted 2026-06-02. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.