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Senior Generative AI Engineer - Machine Learning/Deep Learning Job Opening In Bengaluru – Now Hiring VLaunchU


Job description

<p><p><b>Senior Generative AI Engineer</b> <br/><br/>Location : Bangalore, India <br/><br/>Mode : Hybrid <br/><br/>Experience : 5+ years of experience in Machine Learning/Deep Learning, with a minimum of 2 years focused on Generative AI solution development.<br/><br/>Notice Period : Immediate Joiners Only <br/><br/><b>About the Role : </b><br/><br/>We are looking for a Senior Generative AI Engineer to join our innovative team in Bangalore.

In this hybrid role, you'll be responsible for designing, developing, and deploying advanced Generative AI solutions.

You will work on cutting-edge projects involving Large Language Models (LLMs), contributing to the full lifecycle of our AI productsfrom research and prototyping to production deployment and maintenance.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design & Development : Architect and build robust, scalable Generative AI applications and systems, with a focus on Large Language Models (LLMs).<br/><br/>- Model Expertise : Train, fine-tune, and optimize LLMs using state-of-the-art techniques such as LoRA, QLoRA, PEFT, and Instruction Tuning.<br/><br/>- Deployment & Operations : Containerize applications using Docker and orchestrate deployments with Kubernetes to ensure scalability and reliability.<br/><br/>- CI/CD : Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for seamless integration and delivery of AI solutions.<br/><br/>- Prompt Engineering : Develop and refine advanced prompt engineering strategies and evaluation frameworks to maximize model performance and output quality.<br/><br/>- Data & Infrastructure : Work with vector databases and indexing pipelines to enable efficient semantic search and retrieval-augmented generation (RAG) systems.<br/><br/>- Collaboration : Collaborate with data scientists, ML engineers, and product managers to translate business needs into technical requirements and deliver high-impact solutions.<br/><br/><b>Required Skills & Qualifications : </b><br/><br/>Education : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.<br/><br/><b>Experience : <br/></b><br/>- 5+ years of professional experience in Machine Learning or Deep Learning.<br/><br/>- 2+ years of hands-on experience in Generative AI solution development.<br/><br/><b>Technical Skills (Mandatory) : <br/></b><br/>- Proficiency in Python and its core libraries for machine learning (PyTorch, TensorFlow).<br/><br/>- Strong knowledge of Large Language Models (LLMs), including their architecture and applications.<br/><br/>- Hands-on experience with containerization using Docker and orchestration with Kubernetes.<br/><br/>- Experience implementing and managing CI/CD Pipelines for machine learning models.<br/><br/>- Deep understanding of LLM fine-tuning techniques (e.g., LoRA, QLoRA, PEFT, Instruction Tuning).<br/><br/>- Proficiency in prompt engineering and evaluation of model outputs.<br/><br/>- Experience with vector databases and indexing pipelines for semantic search.<br/><br/><b>Preferred Qualifications : </b><br/><br/>- Experience with cloud-native patterns and major cloud platforms (AWS, Azure, or GCP).<br/><br/>- Familiarity with other deep learning libraries like JAX.<br/><br/>- Knowledge of MLOps principles and tools.<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Generative Potential: Insight & Career Growth Guide


Real-time Senior Generative Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Generative in Bengaluru, India, highlighting market share and opportunities for professionals in Senior Generative roles.

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VLaunchU interview tips for Senior Generative AI Engineer   Machine Learning/Deep Learning

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Before the Interview:

Research: Learn about the VLaunchU's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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During the Interview:

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Final Thought:

To prepare for your Senior Generative AI Engineer Machine Learning/Deep Learning interview at VLaunchU, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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