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

AI/ML Engineer – Generative AI and Azure Specialist

    India Jobs Expertini Expertini › India › Jobs › Bengaluru › Computer Occupations › Ai/ml Engineer – Generative Ai And Azure Specialist

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


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The Work Culture

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.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for AI/ML Engineer – Generative AI and Azure Specialist Job Success

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.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI/ML Engineer – Generative AI and Azure Specialist interview at LAPP Group, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the LAPP Group's products or services and be prepared to discuss how you can contribute to their success.

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

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