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LLM Developer - Data Modeling

LLP S3BGLOBAL TECHNOLOGIES
Multiple Locations
3 - 5 Years
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4.4white-divider5+ Reviews

Posted on: 15/07/2025

Job Description

Job Title : LLM Developer

Location : Bangalore, Gurugram, Mumbai, Coimbatore(Hybrid-Onsite)

Interview Mode : Video

Duration : 6 Months Contract to Hire

Jr LLM developer with data and AIML experience

Required : 3 - 5 years of experience only

We are seeking a highly motivated Junior LLM (Large Language Model) Developer with strong experience in AI/ML and data handling to join our dynamic team. The ideal candidate will contribute to the development and optimization of LLM-based solutions, support model integration, and work with structured and unstructured data to drive intelligent systems.

Key Responsibilities :

- Develop, fine-tune, and evaluate LLM-based models (e.g., OpenAI, Hugging Face Transformers).

- Assist in prompt engineering, context design, and model optimization tasks.

- Collaborate with data scientists to preprocess and analyze structured/unstructured data for model training and evaluation.

- Support the integration of LLMs into applications and workflows via APIs or custom-built pipelines.

- Perform exploratory data analysis and feature engineering for ML model support.

- Work on NLP tasks such as text classification, summarization, question answering, and named entity recognition (NER).

- Stay updated with the latest advancements in generative AI, LLMs, and MLOps best practices.

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field.

- 35 years of experience in AI/ML, data engineering, or NLP projects.

- Hands-on experience with Python, and ML libraries like TensorFlow, PyTorch, or scikit-learn.

- Experience with LLMs (e.g., GPT, BERT, T5) and libraries like Hugging Face Transformers.

- Proficient in working with large datasets using tools like Pandas, NumPy, and SQL.

- Experience with REST APIs and integrating ML models into applications.

- Familiarity with MLOps tools like MLflow, Docker, or FastAPI is a plus.

Preferred Qualifications :

- Exposure to cloud platforms (AWS, GCP, or Azure) for AI/ML deployments.

- Understanding of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) concepts.

- Good problem-solving, communication, and collaboration skills.

Why Join Us ?

- Work on cutting-edge AI/ML and LLM projects.

- Be part of a fast-paced and collaborative innovation-driven environment.

- Opportunities for growth, learning, and continuous upskilling.


The job is for:

Women candidates preferred
Differently-abled candidates preferred
Ex-defence personnel preferred
May work from home
For women joining back the workforce
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