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Job Type

Full Time

Job Description

About Calyza Tech

Generative AI, Data Platforms, Analytics, DevOps, and Cloud Solutions

Generative AI and Applied Machine Learning

Key Responsibilities
  • Assist in designing, developing, and testing

    Generative AI–based POCs

    .
  • Experiment with

    LLMs

    (OpenAI, Anthropic, Hugging Face, AWS Bedrock, LangChain, etc.) to solve business problems.
  • Work with structured and unstructured data to prepare datasets for model input.
  • Implement

    prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG)

    techniques.
  • Collaborate with the engineering team to integrate GenAI models into applications (

    APIs, chatbots, automation workflows

    ).
  • Research and document emerging trends in

    AI/ML

    and recommend best practices.
  • Present results, insights, and POC demos to the team.
Preferred Skills & Knowledge
  • Strong understanding of

    Python

    and ML/AI libraries (

    PyTorch, TensorFlow, scikit-learn

    ).
  • Familiarity with

    LLMs, NLP techniques, and Transformer architectures

    .
  • Experience with

    LangChain, LlamaIndex, Hugging Face

    , or similar frameworks (a plus).
  • Basic knowledge of

    cloud platforms

    (AWS/Azure/GCP) and

    API integrations

    .
  • Strong

    problem-solving mindset

    and willingness to experiment and iterate.
  • Good

    communication and documentation

    skills.
Eligibility & Requirements
  • Pursuing/completed

    Bachelor’s or Master’s

    in Computer Science, Data Science, AI/ML, or related fields.
  • Passion for

    AI research, prototyping, and building innovative solutions

    .
  • Prior

    academic or personal projects

    in ML/AI/GenAI will be a strong advantage.


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