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AI/ML Engineer – Generative AI and Azure Specialist Job Opening In Bengaluru – Now Hiring LAPP Group


Job description

We are seeking a highly skilled and experienced AI/ML Engineer to join our team and lead the design, development, and deployment of cutting-edge machine learning and AI solutions.

The ideal candidate will have a strong background in Generative AI, Large Language Models (LLMs), and hands-on experience with Python and Microsoft Azure.

This role involves building and optimizing AI systems to solve complex business problems while leveraging the latest advancements in artificial intelligence.


Responsibilities:

  • Design, develop, and deploy machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Build and fine-tune Generative AI models (e.g., GPT, BERT, DALL-E) and implement solutions for tasks like text generation, summarization, chatbots, and more
  • Work with Large Language Models (LLMs), including training, fine-tuning, and deploying them for business-specific applications
  • Leverage Microsoft Azure AI Services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI) for model development, deployment, and scaling
  • Design and deploy AI/ML solutions on Azure platforms such as Azure Kubernetes Service (AKS) or Azure Functions
  • Deploy and manage AI/ML models using MLOps practices, including containerization with Docker, orchestration with Kubernetes, and CI/CD pipelines
  • Integrate AI/ML models into applications via APIs and microservices, ensuring seamless interaction with other systems
  • Stay updated with advancements in AI and machine learning, including emerging tools, frameworks, and methodologies
  • Ensure ethical AI practices, including bias mitigation, interpretability and responsible use of generative models


Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence or a related field
  • 4–12 years of hands-on experience in machine learning, deep learning and AI model development
  • Expertise in Python
  • Experience with Generative AI models
  • Proficiency in working with Large Language Models (LLMs) and techniques like prompt engineering and embeddings
  • Strong knowledge of Microsoft Azure AI Services and deployment tools (Azure Machine Learning, Cognitive Services, Azure OpenAI)
  • Strong understanding of data preprocessing, feature engineering and working with large datasets
  • Knowledge of NLP tasks like text generation, summarization and sentiment analysis


Do you have questions about the job?

Or would you like to apply directly and pursue a career at LAPP?

Contact Evanthia Papadopoulou from HR!


Mail: evanthia.papadopoulou@lapp.com

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI ML Potential: Insight & Career Growth Guide


Real-time AI ML 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 AI ML in Bengaluru, India, highlighting market share and opportunities for professionals in AI ML roles.

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at LAPP Group adheres to the cultural norms as outlined by Expertini.

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LAPP Group interview tips for AI/ML Engineer – Generative AI and Azure Specialist

Here are some tips to help you prepare for and ace your AI/ML Engineer – Generative AI and Azure Specialist job interview:

Before the Interview:

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

Other Openings

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

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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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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