AI/ML Engineer - Data Modeling (India)

AI/ML Engineer - Data Modeling (India)

18 Aug
|
programming.com
|
India

18 Aug

programming.com

India

:

Job Title : AI/ML Engineer

Experience : 4 Years

Location : Bangalore - Hybrid

Notice Period : Immediate Joiner

Job Role :

We are looking for skilled AI/ML Engineers with strong hands-on experience in LLMs, embeddings, and related frameworks. The ideal candidate should demonstrate practical expertise in at least 4-5 of the listed key skills. This role requires active involvement in building, fine-tuning, and deploying language and vision models, while working in a collaborative hybrid setup.

Responsibilities

- Fine-tune and train Large Language Models (LLMs), Small Language Models (SLMs), and Vision Language Models (VLMs) using frameworks like Hugging Face, PyTorch, or TensorFlow
- Work on integrating LLMs with embeddings, transformers, and vector databases
- Build and manage MLOps pipelines and scalable data engineering workflows
- Apply techniques such as prompt tuning, prompt chaining, and agent-based approaches for solving real-world use cases
- Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions




- Deploy and monitor models in production environments
- Perform POCs and implement the best architectural choices for model deployment

Requirements

- 4 years of hands-on experience in AI/ML engineering

Proficient in at least 4-5 of the following :

- Fine-tuning LLMs/SLMs/VLMs using Hugging Face, PyTorch, TensorFlow
- Embeddings, Transformers
- Vector databases (e.g., FAISS, Pinecone)
- Prompt engineering (prompt tuning, chaining, agent-based models)
- MLOps & Data Engineering workflows
- Solid Python programming skills
- Experience in model deployment and performance optimization
- Solid understanding of NLP and/or multimodal AI systems
- Location : Bangalore (Hybrid mode)

Technical Skills :

Fine-tuning, LLMs, SLMs, VLMs, HuggingFace, PyTorch, TensorFlow, Embeddings, Transformers, VectorDBs, FAISS, Pinecone, MLOps, CI/CD, Deployment, Monitoring, DataOps, ETL, Prompting, Prompt-Tuning, Prompt-Chaining, Agents, Evaluation, Optimization, Python, APIs

📌 AI/ML Engineer - Data Modeling (India)
🏢 programming.com
📍 India

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