Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Artificial Intelligence/Machine Learning Engineer LLM Models.
India Jobs Expertini

Urgent! Artificial Intelligence/Machine Learning Engineer - LLM Models Job Opening In Noida – Now Hiring CloudSufi

Artificial Intelligence/Machine Learning Engineer LLM Models



Job description

<p><p><b>About Us :</b><br/><br/>CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises.

With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services, and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.<br/><br/><b>Job Summary :</b><br/><br/>We are seeking a skilled and motivated AI/ML Engineer with a background in Natural Language Processing (NLP), speech technologies, and generative AI.

The ideal candidate will have hands-on experience building AI projects from conception to deployment, including fine-tuning large language models (LLMs), developing conversational agents, and implementing machine learning pipelines.

You will play a key role in building and enhancing our AI-powered products and services.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and deploy advanced conversational AI systems, including customer onboarding agents and support chatbots for platforms like WhatsApp.<br/><br/>- Process, transcribe, and diarize audio conversations to create high-quality datasets for fine-tuning large language models (LLMs).<br/><br/>- Develop and maintain robust, scalable infrastructure for AI model serving, utilizing technologies like FastAPI, Docker, and cloud platforms (e.g., Google Cloud Platform).<br/><br/>- Integrate and leverage knowledge graphs and contextual information systems to create more personalized, empathetic, and goal-oriented dialogues.<br/><br/>- Engineer and implement retrieval-augmented generation (RAG) systems to enable natural language querying of internal company documents, optimizing for efficiency and informativeness.<br/><br/>- Fine-tune and deploy generative models like Stable Diffusion for custom asset creation, with a focus on improving precision and reducing generative artifacts (FID score).<br/><br/>- Collaborate with cross-functional teams, including product managers and designers, to build user-friendly interfaces and tools that enhance productivity and user experience.<br/><br/>- Contribute to the research and publication of novel AI systems and models.<br/><br/><b>Qualifications and Skills :</b><br/><br/><b>Education</b>: Bachelor of Engineering (B.E.) in Computer Science or a related field.<br/><br/><b>Experience</b>: 3+ years of professional experience as a Machine Learning Engineer or in a similar role.<br/><br/><b>Programming Languages:</b> Expertise in Python and a strong command of SQL, and JavaScript.<br/><br/><b>Machine Learning Libraries</b>: Hands-on experience with PyTorch, Scikit-learn, Hugging Face Transformers, Diffusers, Librosa, LangGraph, and the OpenAI API.<br/><br/><b>Software and Tools</b>: Proficiency with Docker and various databases including PostgreSQL, MongoDB, Redis, and Elasticsearch.<br/><br/><b>Core Competencies :</b><br/><br/>- Experience developing end-to-end AI pipelines, from data processing and model training to API deployment and integration.<br/><br/>- Familiarity with MLOps principles and tools for building and maintaining production-level machine learning systems.<br/><br/>- A portfolio of projects, publications, or open-source contributions in the fields of NLP, Computer Vision, or Speech Analysis is a plus.<br/><br/>- Excellent problem-solving skills and the ability to think strategically to deliver optimized and efficient solutions.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide


  • Real-time Artificial Intelligence Jobs Trends in Noida, India (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Artificial Intelligence in Noida, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19574 jobs in India and 208 jobs in Noida. This comprehensive analysis highlights market share and opportunities for professionals in Artificial Intelligence roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Artificial Intelligence/Machine Learning Engineer LLM Models Job?

    Great news! is currently hiring and seeking a Artificial Intelligence/Machine Learning Engineer LLM Models 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 CloudSufi adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying India laws and regulations
  • What Is the Average Salary Range for Artificial Intelligence/Machine Learning Engineer LLM Models Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Noida. 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 Artificial Intelligence/Machine Learning Engineer LLM Models?

    Key qualifications for Artificial Intelligence/Machine Learning Engineer LLM Models typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Artificial Intelligence/Machine Learning Engineer LLM Models?

    To improve your chances of getting hired for Artificial Intelligence/Machine Learning Engineer LLM Models, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Artificial Intelligence/Machine Learning Engineer LLM Models Job Success
    CloudSufi interview tips for Artificial Intelligence/Machine Learning Engineer   LLM Models

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the CloudSufi'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 Artificial Intelligence/Machine Learning Engineer LLM Models interview at CloudSufi, 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 CloudSufi'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!

  • How to Set Up Job Alerts for Artificial Intelligence/Machine Learning Engineer LLM Models Positions

    Setting up job alerts for Artificial Intelligence/Machine Learning Engineer LLM Models is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!