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LLM Engineer/ Prompt Engineer

0 years

0 Lacs

sahibzada ajit singh nagar punjab india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

design learning data training testing ai docker scalability model ml retrieval test programming numpy tensorflow pytorch algorithms statistics aws gcp rest git vision mlflow spark power technology creativity compensation

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Design, develop, and deploy

    machine learning models

    to address real-world challenges.
  • Build and optimize

    data pipelines

    for training, testing, and inference.
  • Train, evaluate, and fine-tune models across

    supervised, unsupervised, and deep learning techniques

    .
  • Collaborate with product managers, engineers, and designers to integrate AI solutions into applications.
  • Deploy models into production using

    APIs, Docker, or cloud-native platforms

    .
  • Monitor performance, retrain models, and ensure scalability and reliability.
  • Document experiments, model architectures, and performance insights.
  • Stay updated on the latest advancements in

    AI/ML, NLP, and deep learning frameworks

    .
  • Sets up APIs with GPT-4, Claude, or open-weight models.
  • Experiments with prompt templates, retrieval (RAG), and embeddings.
  • Runs test cases on legal prompts.
  • Why? You need someone who knows how to get the most out of models fast.


SKill & Qualifications

  • Strong programming skills in

    Python

    (NumPy, Pandas, Scikit-learn).
  • Hands-on experience with

    TensorFlow, PyTorch, or Keras

    .
  • Solid understanding of

    machine learning algorithms, statistics, and data structures

    .
  • Familiarity with

    cloud platforms

    (AWS, GCP, or Azure).
  • Experience working with

    REST APIs, Git, and Docker

    .
  • Strong problem-solving skills with the ability to adapt solutions to business needs.


Nice to Have

  • Experience with

    MLOps practices

    (CI/CD pipelines, model monitoring).
  • Exposure to

    NLP, computer vision, or LLMs (BERT, GPT, etc.)

    .
  • Knowledge of tools like

    MLflow, Weights & Biases, or Streamlit/FastAPI

    .
  • Familiarity with

    big data tools

    (Spark, Hadoop).


Why Join Girl Power Talk?

  • Work on

    AI projects that merge technology with social impact

    .
  • Be part of a culture that values

    creativity, inclusivity, and continuous learning

    .
  • Collaborate with a

    global team of innovators and changemakers

    .
  • Grow your expertise while contributing to a mission that empowers people worldwide.


Additional Information:

  • RSU’s provided depending on role, candidate & product roadmap
  • The offered CTC will be determined based on your current compensation and performance in the interview. We do not limit ourselves by budget when it comes to hiring the right talent.

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