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Machine Learning Engineer (GEN AI) Job Opening In Bengaluru – Now Hiring Infogain


Job description

Core Skills

  • Design and develop Generative AI applications and solutions using LLMs and open-source frameworks.
  • Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives
  • Prototype and experiment with new GenAI techniques and approaches.
  • Contribute to the development, integration, and improvement of internal GenAI service or tools.
  • Implement performance efficient RAG, Fine tuning models, and Prompt engineering techniques with GenAI solutions.
  • Lead the integration of LLMs and LangChain into business processes.
  • Collaborate with application team on user needs and translate them into actionable GenAI solutions.
  • Communicate effectively with technical and non-technical stakeholders.
  • Stay up-to-date on the latest advancements in Generative AI research and development.

Qualifications:

  • Bachelor's degree with 8-11 years of AI/ML experience.
  • Experienced in developing GenAI applications and integration of GenAI with existing applications.
  • Strong understanding of machine learning concepts and algorithms, especially related to Generative AI and LLMs.
  • Experienced with Open-source frameworks like langchain and llamaindex, RAG, Prompt engineering and fine tuning LLM models, NLP and other relevant AI subfields.
  • Experience with Python and other relevant programming languages (e.g., Java, JavaScript).
  • Experience with building and deploying ML models is preferred.
  • Excellent communication, collaboration, and problem-solving skills.
  • Strong curiosity and a passion for learning and exploring new technologies.
  • Ability to work independently and as part of a team.
  • Experience with cloud platforms (e.g., AWS, Azure and GCP).
  • LLMOps/MLOps experience.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


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

20359 Jobs in India
20359
1739 Jobs in Bengaluru
1739
Download Machine Learning Jobs Trends in Bengaluru and India

Are You Looking for Machine Learning Engineer (GEN AI) Job?

Great news! is currently hiring and seeking a Machine Learning Engineer (GEN AI) to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Infogain 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

What Is the Average Salary Range for Machine Learning Engineer (GEN AI) Positions?

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.

What Are the Key Qualifications for Machine Learning Engineer (GEN AI)?

Key qualifications for Machine Learning Engineer (GEN AI) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Machine Learning Engineer (GEN AI) Job Success

Infogain interview tips for Machine Learning Engineer (GEN AI)

Here are some tips to help you prepare for and ace your Machine Learning Engineer (GEN AI) job interview:

Before the Interview:

Research: Learn about the Infogain'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.

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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 Machine Learning Engineer (GEN AI) interview at Infogain, 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 Infogain'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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