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Job Type

Full Time

Job Description

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Beyond Root Technology Services

We’re a team of innovators, engineers, and dreamers dedicated to transforming ideas into impactful solutions.


About the Role

AI/ML Developer

Large Language Models (LLMs)

hands-on role


Key Responsibility:

  • Develop and fine-tune

    deep learning models

    using

    PyTorch

    or

    TensorFlow

    .
  • Build and optimize

    LLM applications

    using

    Hugging Face Transformers

    and

    LangChain

    .
  • Design

    prompt engineering

    strategies and perform

    fine-tuning

    for domain-specific use cases.
  • Implement

    NLP pipelines

    (tokenization, embeddings, attention mechanisms, etc.).
  • Work with

    vector databases

    (FAISS, Pinecone, Weaviate) for

    semantic search

    and

    Retrieval-Augmented Generation (RAG)

    .
  • Build scalable

    APIs

    using

    FastAPI

    or

    Flask

    .
  • Deploy models using

    Docker

    ,

    ONNX

    ,

    TorchScript

    , and

    REST APIs

    .
  • Collaborate with

    DevOps

    teams to deploy and scale solutions on

    AWS

    ,

    GCP

    , or

    Azure

    .
  • Maintain version control and clean collaboration workflows using

    Git

    and

    GitHub

    .


Technical Skills:

  • Programming:

    Python

  • Deep Learning Frameworks:

    PyTorch, TensorFlow

  • Transformers & LLMs:

    Hugging Face Transformers, LangChain

  • Prompt Engineering & Fine-tuning

  • NLP Fundamentals:

    Tokenization, embeddings, attention mechanisms

  • Data Preprocessing:

    NumPy, Pandas, OpenCV (for image data)

  • Vector Databases:

    FAISS, Pinecone, Chroma, Weaviate

  • API Development:

    FastAPI, Flask

  • Model Deployment:

    Docker, REST APIs, ONNX, TorchScript

  • Version Control:

    Git, GitHub

  • Cloud Platforms:

    AWS / GCP / Azure


Additional Skills:

  • Retrieval-Augmented Generation (RAG)

  • LLM Orchestration:

    LangGraph, LlamaIndex

  • Knowledge Graphs & Semantic Search

  • MLOps Tools:

    MLflow, DVC, Kubeflow

  • Distributed Training:

    DeepSpeed, Hugging Face Accelerate

  • Vector Search Optimization:

    Milvus, Qdrant

  • Custom Model Training:

    LoRA, PEFT, RLHF

  • Front-end:

    React, Streamlit, Gradio

  • Databases:

    PostgreSQL, MongoDB

  • Monitoring & Logging:

    Prometheus, Grafana

  • Prompt Security / Data Governance


Why Join us?

  • Work on

    cutting-edge AI and ML technologies

    that push industry boundaries.
  • Collaborate with a talented, cross-functional team of developers, architects, and product experts.
  • Be part of an

    open, learning-driven environment

    that values growth, creativity, and ownership.
  • Contribute to global projects that redefine

    digital innovation

    and

    business intelligence

    .
  • Enjoy a culture built on

    transparency, flexibility, and continuous improvement

    .


Make sure to read the JD before applying, only serious candidates


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