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Homeoffice Generative AI Engineer (Intern) presso Mactores

Mactores · Mumbai, Maharashtra, IN, Stati Uniti d'America · Remote

Python

AWS

MLOps

Backend

Cloud

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Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We seek a passionate and curious Generative AI Intern to join our team. In this internship, you’ll explore the exciting world of generative AI, working alongside experienced engineers to build models and tools that solve real-world problems. You'll gain hands-on experience with AI technologies, cloud platforms, and modern software development practices.


What you will do?
  • Assist in designing and developing generative AI prototypes using large language models (LLMs).
  • Explore prompt engineering and experiment with Retrieval-Augmented Generation (RAG) techniques.
  • Support the fine-tuning and evaluation of AI models to improve quality and performance.
  • Learn to use AWS services like Bedrock, SageMaker, and Lambda for model deployment and inference.
  • Help build simple APIs and backend components for AI-powered applications.
  • Understand and apply best practices in AI safety, monitoring, and performance optimization.
  • Participate in research, brainstorming, and documentation of generative AI projects.


    • What we are looking for?
  • Currently pursuing or have achieved a degree in Computer Science, Data Science, AI/ML, or a related field.
  • Basic knowledge of Python and an interest in software development.
  • Familiarity with large language models (LLMs) and generative AI.
  • Willingness to learn about tools like LangChain, LlamaIndex, or vector databases.
  • Exposure to the AWS cloud platform.
  • Interest in multi-modal AI systems or MLOps practices.
  • Experience working on personal or academic AI projects.
  • Strong curiosity, problem-solving mindset, and eagerness to experiment.
  • Good communication and collaboration skills.


    • Life at Mactores

    We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

    1. Be one step ahead
    2. Deliver the best
    3. Be bold
    4. Pay attention to the detail
    5. Enjoy the challenge
    6. Be curious and take action
    7. Take leadership
    8. Own it
    9. Deliver value
    10. Be collaborative

    We would like you to read more details about the work culture on https://mactores.com/careers 

    The Path to Joining the Mactores Team
    At Mactores, our recruitment process is structured around three distinct stages:

    Pre-Employment Assessment: 
    You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

    Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

    HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

    At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.


    Note: Please answer as many questions as possible with this application to accelerate the hiring process.
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